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For: Piñero J, Bravo À, Queralt-Rosinach N, Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz F, Furlong LI. DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants. Nucleic Acids Res 2017;45:D833-9. [PMID: 27924018 DOI: 10.1093/nar/gkw943] [Cited by in Crossref: 1232] [Cited by in F6Publishing: 1292] [Article Influence: 205.3] [Reference Citation Analysis]
Number Citing Articles
1 Liu X, Song Y, Zhou F, Zhang C, Li F, Hu R, Ma W, Song K, Tang Z, Zhang M. Network and experimental pharmacology on mechanism of Si-Wu-tang improving ovarian function in a mouse model of premature ovarian failure induced by cyclophosphamide. Journal of Ethnopharmacology 2023;301:115842. [DOI: 10.1016/j.jep.2022.115842] [Reference Citation Analysis]
2 Wang S, Yao W, Zhu X, Wang J, Lu L, Zhu N, Lan T, Kuang Y, Zhu W, Liu R, Huang L. Exploring the mechanism of the antithrombotic effects of Pueraria lobata and Pueraria lobata var. thomsonii based on network pharmacology. Journal of Ethnopharmacology 2023;300:115701. [DOI: 10.1016/j.jep.2022.115701] [Reference Citation Analysis]
3 Qu Y, Ding M, Gu C, Zhang L, Zhen R, Chen J, Hu B, An H. Acteoside and ursolic acid synergistically protects H 2 O 2 -induced neurotrosis by regulation of AKT/mTOR signalling: from network pharmacology to experimental validation. Pharmaceutical Biology 2022;60:1751-61. [DOI: 10.1080/13880209.2022.2098344] [Reference Citation Analysis]
4 Tan J, Li X, Zhang L, Du Z. Recent advances in machine learning methods for predicting LncRNA and disease associations. Front Cell Infect Microbiol 2022;12. [DOI: 10.3389/fcimb.2022.1071972] [Reference Citation Analysis]
5 Nerkar AG, Badar S. Ethnopharmacological review of kalmegh for anticancer activity. CTPPC 2022;4:152-157. [DOI: 10.18231/j.ctppc.2022.027] [Reference Citation Analysis]
6 Kori M, Gov E. Bioinformatics Prediction and Machine Learning on Gene Expression Data Identifies Novel Gene Candidates in Gastric Cancer. Genes 2022;13:2233. [DOI: 10.3390/genes13122233] [Reference Citation Analysis]
7 Geng Y, Zhang T, Alonzo IG, Godar SC, Yates C, Pluimer BR, Harrison DL, Nath AK, Yeh JJ, Drummond IA, Bortolato M, Peterson RT. Top2a promotes the development of social behavior via PRC2 and H3K27me3. Sci Adv 2022;8. [DOI: 10.1126/sciadv.abm7069] [Reference Citation Analysis]
8 Villarino AV, Laurence AD, Davis FP, Nivelo L, Brooks SR, Sun H, Jiang K, Afzali B, Frasca D, Hennighausen L, Kanno Y, O’shea JJ. A central role for STAT5 in the transcriptional programing of T helper cell metabolism. Sci Immunol 2022;7. [DOI: 10.1126/sciimmunol.abl9467] [Reference Citation Analysis]
9 Ning D, Chen Y, Lin C, Wang C, Zhao H, Wang K, Lee M, Tayo LL, Chiu W, Yeh C, Lee C. Hepatoprotective effect of botanical drug formula on high-fat diet-induced non-alcoholic fatty liver disease by inhibiting lipogenesis and promoting anti-oxidation. Front Pharmacol 2022;13. [DOI: 10.3389/fphar.2022.1026912] [Reference Citation Analysis]
10 Singha M, Pu L, Stanfield BA, Uche IK, Rider PJF, Kousoulas KG, Ramanujam J, Brylinski M. Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors. BMC Cancer 2022;22:1211. [DOI: 10.1186/s12885-022-10293-0] [Reference Citation Analysis]
11 Yan Q, Yang J, Yao Y, Jia Z, Wang Y, Cheng M, Yan X, Xu Y. Research of the Active Components and Potential Mechanisms of Qingfei Gujin Decoction in the Treatment of Osteosarcoma Based on Network Pharmacology and Molecular Docking Technology. Computational and Mathematical Methods in Medicine 2022;2022:1-12. [DOI: 10.1155/2022/7994425] [Reference Citation Analysis]
12 Li C, Zhang Y, Xiao Y, Luo Y. Identifying the Effect of COVID-19 Infection in Multiple Myeloma and Diffuse Large B-Cell Lymphoma Patients Using Bioinformatics and System Biology. Computational and Mathematical Methods in Medicine 2022;2022:1-12. [DOI: 10.1155/2022/7017317] [Reference Citation Analysis]
13 Vilela J, Asif M, Marques AR, Santos JX, Rasga C, Vicente A, Martiniano H. Biomedical knowledge graph embeddings for personalized medicine: Predicting disease‐gene associations. Expert Systems 2022. [DOI: 10.1111/exsy.13181] [Reference Citation Analysis]
14 Qumsiyeh E, Showe L, Yousef M. GediNET for discovering gene associations across diseases using knowledge based machine learning approach. Sci Rep 2022;12:19955. [DOI: 10.1038/s41598-022-24421-0] [Reference Citation Analysis]
15 Nguyen LTH, Nguyen NPK, Tran KN, Shin H, Yang I. Network Pharmacology and Experimental Validation to Investigate the Antidepressant Potential of Atractylodes lancea (Thunb.) DC. Life 2022;12:1925. [DOI: 10.3390/life12111925] [Reference Citation Analysis]
16 Gai J, Xing J, Wang Y, Lei J, Zhang C, Zhang J, Tang J. Exploration of potential targets and mechanisms of Naringenin in treating autism spectrum disorder via network pharmacology and molecular docking. Medicine (Baltimore) 2022;101:e31787. [PMID: 36401485 DOI: 10.1097/MD.0000000000031787] [Reference Citation Analysis]
17 You H, Zhao Q, Dong M, Gou Q. Identification of key genes in platelets associated with COVID-19 using a weighted gene co-expression network analysis.. [DOI: 10.21203/rs.3.rs-2203388/v1] [Reference Citation Analysis]
18 Alcalá-santiago Á, Rodríguez-barranco M, Rava M, Jiménez-sousa MÁ, Gil Á, Sánchez MJ, Molina-montes E. Vitamin D Deficiency and COVID-19: A Biological Database Study on Pathways and Gene-Disease Associations. IJMS 2022;23:14256. [DOI: 10.3390/ijms232214256] [Reference Citation Analysis]
19 Qiu Z, Zhang F, Hu X, Zhang Y, Tang Z, Zhang J, Yang L, Wong M, Chen J, Xiao H. Genistein Modified with 8-Prenyl Group Suppresses Osteoclast Activity Directly via Its Prototype but Not Metabolite by Gut Microbiota. Molecules 2022;27:7811. [DOI: 10.3390/molecules27227811] [Reference Citation Analysis]
20 Singh V, Pandey S, Bhardwaj A. From the reference human genome to human pangenome: Premise, promise and challenge. Front Genet 2022;13. [DOI: 10.3389/fgene.2022.1042550] [Reference Citation Analysis]
21 Yang J, Li Z, Wu WKK, Yu S, Xu Z, Chu Q, Zhang Q. Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network. Briefings in Bioinformatics 2022. [DOI: 10.1093/bib/bbac469] [Reference Citation Analysis]
22 Zhu J, Chen H, Le Y, Guo J, Liu Z, Dou X, Lu D. Salvianolic acid A regulates pyroptosis of endothelial cells via directly targeting PKM2 and ameliorates diabetic atherosclerosis. Front Pharmacol 2022;13. [DOI: 10.3389/fphar.2022.1009229] [Reference Citation Analysis]
23 Yang K, Liu J, Gong Y, Li Y, Liu Q. Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure. Front Immunol 2022;13. [DOI: 10.3389/fimmu.2022.1052850] [Reference Citation Analysis]
24 Wang S, Chen YZ, Fu S, Zhao Y. In silico approaches uncovering the systematic function of N-phosphorylated proteins in human cells. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106280] [Reference Citation Analysis]
25 Xia M, Ai N, Pang J. Preliminary Exploration of Clinical Efficacy and Pharmacological Mechanism of Modified Danggui-Shaoyao San in the Treatment of Depression in Patients with Chronic Kidney Disease. DDDT 2022;Volume 16:3975-3989. [DOI: 10.2147/dddt.s387677] [Reference Citation Analysis]
26 Li G, Tang Z, Fan W, Wang X, Huang L, Jia Y, Wang M, Hu Z, Zhou Y. Atlas of interactions between SARS-CoV-2 macromolecules and host proteins. Cell Insight 2022. [DOI: 10.1016/j.cellin.2022.100068] [Reference Citation Analysis]
27 Xu J, Mao C, Hou Y, Luo Y, Binder JL, Zhou Y, Bekris LM, Shin J, Hu M, Wang F, Eng C, Oprea TI, Flanagan ME, Pieper AA, Cummings J, Leverenz JB, Cheng F. Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s disease. Cell Reports 2022;41:111717. [DOI: 10.1016/j.celrep.2022.111717] [Reference Citation Analysis]
28 Gao T, Wang R, Zhang H, Zhao F. Network pharmacology combined with metabolomics reveals the mechanism of Fuzi decoction against chronic heart failure in rats. Journal of Chromatography B 2022;1210:123435. [DOI: 10.1016/j.jchromb.2022.123435] [Reference Citation Analysis]
29 Yang Y, Feng K, Yuan L, Liu Y, Zhang M, Guo K, Yin Z, Wang W, Zhou S, Sun H, Yan K, Yan X, Wang X, Duan Y, Hu Y, Han J. Compound Danshen Dripping Pill inhibits hypercholesterolemia/atherosclerosis-induced heart failure in ApoE and LDLR dual deficient mice via multiple mechanisms. Acta Pharmaceutica Sinica B 2022. [DOI: 10.1016/j.apsb.2022.11.012] [Reference Citation Analysis]
30 Balasubramanian R, Vinod PK. Inferring miRNA sponge modules across major neuropsychiatric disorders. Front Mol Neurosci 2022;15. [DOI: 10.3389/fnmol.2022.1009662] [Reference Citation Analysis]
31 Islam MB, Chowdhury UN, Nashiry MA, Moni MA. Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency. Informatics in Medicine Unlocked 2022;34:101116. [DOI: 10.1016/j.imu.2022.101116] [Reference Citation Analysis]
32 Yan C, Niu Y, Wang X. Blood transcriptome analysis revealed the crosstalk between COVID-19 and HIV. Front Immunol 2022;13. [DOI: 10.3389/fimmu.2022.1008653] [Reference Citation Analysis]
33 Gao Y, Jiang G, Yang W, Jin W, Gong J, Xu X, Niu X. Animal-SNPAtlas: a comprehensive SNP database for multiple animals. Nucleic Acids Research 2022. [DOI: 10.1093/nar/gkac954] [Reference Citation Analysis]
34 Wang J, Park K, Yu X, Gong W, Earp HS, Wang G, Jin J, Cai L. A cryptic transactivation domain of EZH2 binds AR and AR’s splice variant, promoting oncogene activation and tumorous transformation. Nucleic Acids Research 2022. [DOI: 10.1093/nar/gkac861] [Reference Citation Analysis]
35 Zhang J, Yang Z, Jia X, Li X, Wang X, Rong H, Liang Y, Zeng W, Jia W, Ma X. Integrated network pharmacology and metabolomics to reveal the mechanism of QiShenYiQi Dripping Pills (T101) against cardiac structural and functional abnormalities. Front Pharmacol 2022;13. [DOI: 10.3389/fphar.2022.1017433] [Reference Citation Analysis]
36 Zhou W, Ma X, Jia X, Zheng J, Yan L, Fu Y. Construction and comprehensive analysis of the biological network related to rheumatoid arthritis-related interstitial lung disease. Int J Rheum Dis 2022. [PMID: 36261881 DOI: 10.1111/1756-185X.14466] [Reference Citation Analysis]
37 Fiscon G, Sibilio P, Funari A, Conte F, Paci P. Identification of Potential Repurposable Drugs in Alzheimer’s Disease Exploiting a Bioinformatics Analysis. JPM 2022;12:1731. [DOI: 10.3390/jpm12101731] [Reference Citation Analysis]
38 Zhou Q, Cheng S, Zheng S, Wang Z, Guan P, Zhu Z, Huang X, Zhou C, Li G. ChromLoops: a comprehensive database for specific protein-mediated chromatin loops in diverse organisms. Nucleic Acids Res 2022:gkac893. [PMID: 36243984 DOI: 10.1093/nar/gkac893] [Reference Citation Analysis]
39 Xie J, Chen H, Li Y, Liu C, Zheng X, Feng S, Wang H. Identifying and Targeting Prediction of the PI3K-AKT Signaling Pathway in Drug-Induced Thrombocytopenia in Infected Patients Receiving Linezolid Therapy: A Network Pharmacology-Based Analysis. J Healthc Eng 2022;2022:2282351. [PMID: 36285187 DOI: 10.1155/2022/2282351] [Reference Citation Analysis]
40 Batiuk MY, Tyler T, Dragicevic K, Mei S, Rydbirk R, Petukhov V, Deviatiiarov R, Sedmak D, Frank E, Feher V, Habek N, Hu Q, Igolkina A, Roszik L, Pfisterer U, Garcia-Gonzalez D, Petanjek Z, Adorjan I, Kharchenko PV, Khodosevich K. Upper cortical layer-driven network impairment in schizophrenia. Sci Adv 2022;8:eabn8367. [PMID: 36223459 DOI: 10.1126/sciadv.abn8367] [Reference Citation Analysis]
41 Huang C, Cen K, Zhang Y, Liu B, Wang Y, Li J. MEAHNE: miRNA-Disease Association Prediction Based on Semantic Information in a Heterogeneous Network. Life (Basel) 2022;12. [PMID: 36295013 DOI: 10.3390/life12101578] [Reference Citation Analysis]
42 Shin W, Kutmon M, Mina E, Amelsvoort TV, Evelo CT, Ehrhart F. Exploring Pathway Interactions to Detect Molecular Mechanisms of Disease: 22q11.2 Deletion Syndrome.. [DOI: 10.21203/rs.3.rs-2093258/v1] [Reference Citation Analysis]
43 Mokhtaridoost M, Maass PG, Gönen M. Identifying Tissue- and Cohort-Specific RNA Regulatory Modules in Cancer Cells Using Multitask Learning. Cancers (Basel) 2022;14:4939. [PMID: 36230862 DOI: 10.3390/cancers14194939] [Reference Citation Analysis]
44 de la Fuente L, Del Pozo-valero M, Perea-romero I, Blanco-kelly F, Fernández-caballero L, Cortón M, Ayuso C, Mínguez P. Prioritization of new candidate genes for rare genetic diseases by a disease-aware evaluation of heterogeneous molecular networks.. [DOI: 10.1101/2022.10.07.22280759] [Reference Citation Analysis]
45 Zhang LQ, Yang H, Liu JJ, Zhang LR, Hao YD, Guo JM, Lin H. Recognition of driver genes with potential prognostic implications in lung adenocarcinoma based on H3K79me2. Comput Struct Biotechnol J 2022;20:5535-46. [PMID: 36249560 DOI: 10.1016/j.csbj.2022.10.004] [Reference Citation Analysis]
46 Conte F, Paci P. Alzheimer's disease: insights from a network medicine perspective. Sci Rep 2022;12:16846. [PMID: 36207441 DOI: 10.1038/s41598-022-20404-3] [Reference Citation Analysis]
47 Liao Y, Luo F, Tang S, Huang J, Yang Y, Wang S, Jiang T, Man Q, Liu S, Wu Y. Network analysis and experimental pharmacology study explore the protective effects of Isoliquiritigenin on 5-fluorouracil-Induced intestinal mucositis. Front Pharmacol 2022;13:1014160. [DOI: 10.3389/fphar.2022.1014160] [Reference Citation Analysis]
48 Huang K, Gong H, Guan J, Zhang L, Hu C, Zhao W, Huang L, Zhang W, Kim P, Zhou X. AgeAnno: a knowledgebase of single-cell annotation of aging in human. Nucleic Acids Res 2022:gkac847. [PMID: 36200838 DOI: 10.1093/nar/gkac847] [Reference Citation Analysis]
49 Makler A, Narayanan R, Asghar W. An Exosomal miRNA Biomarker for the Detection of Pancreatic Ductal Adenocarcinoma. Biosensors (Basel) 2022;12:831. [PMID: 36290970 DOI: 10.3390/bios12100831] [Reference Citation Analysis]
50 Hannan MA, Sultana A, Rahman MH, Al Mamun Sohag A, Dash R, Uddin MJ, Hossen MJ, Moon IS. Protective Mechanisms of Nootropic Herb Shankhpushpi (Convolvulus pluricaulis) against Dementia: Network Pharmacology and Computational Approach. Evid Based Complement Alternat Med 2022;2022:1015310. [PMID: 36225186 DOI: 10.1155/2022/1015310] [Reference Citation Analysis]
51 Zhang Y, Chang T, Lu Q, Cui Y, Zhang D, Wang B, Xu P, Lu J, Ma J, Lv Z, Wang J. Exploring the Potential Mechanism of Qi-Shen-Di-Huang Drug Formulary for Myasthenia Gravis (MG) based on UHPLC-QE-MS Network Pharmacology and Molecular Docking Techniques. Evid Based Complement Alternat Med 2022;2022:7416448. [PMID: 36225188 DOI: 10.1155/2022/7416448] [Reference Citation Analysis]
52 Han X, Wang F, Yang P, Di B, Xu X, Zhang C, Yao M, Sun Y, Lin Y, Tang M. A Bioinformatic Approach Based on Systems Biology to Determine the Effects of SARS-CoV-2 Infection in Patients with Hypertrophic Cardiomyopathy. Computational and Mathematical Methods in Medicine 2022;2022:1-13. [DOI: 10.1155/2022/5337380] [Reference Citation Analysis]
53 Li J, Yang K, Guo Y, Cao L, Cheng F, Zhang N. Material basis and action mechanism of Euryale Ferox Salisb in preventing and treating diabetic kidney disease. J Food Biochem 2022;:e14409. [PMID: 36165567 DOI: 10.1111/jfbc.14409] [Reference Citation Analysis]
54 He B, Wang K, Xiang J, Bing P, Tang M, Tian G, Guo C, Xu M, Yang J. DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network. Brief Bioinform 2022:bbac405. [PMID: 36151744 DOI: 10.1093/bib/bbac405] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
55 Vidal OM, Vélez JI, Arcos-Burgos M. ADGRL3 genomic variation implicated in neurogenesis and ADHD links functional effects to the incretin polypeptide GIP. Sci Rep 2022;12:15922. [PMID: 36151371 DOI: 10.1038/s41598-022-20343-z] [Reference Citation Analysis]
56 Cui CY, Liu X, Peng MH, Liu Q, Zhang Y. Identification of key candidate genes and biological pathways in neuropathic pain. Comput Biol Med 2022;150:106135. [PMID: 36166989 DOI: 10.1016/j.compbiomed.2022.106135] [Reference Citation Analysis]
57 Wu L, Xiao F, Sun J, Li F, Chen Y, Chen J, Zhang J, Qian L, Wang R. Integrated identification of key immune related genes and patterns of immune infiltration in calcified aortic valvular disease: A network based meta-analysis. Front Genet 2022;13:971808. [DOI: 10.3389/fgene.2022.971808] [Reference Citation Analysis]
58 Cai Y, Wu Q, Chen Y, Liu Y, Wang J. Predicting non-small cell lung cancer-related genes by a new network-based machine learning method. Front Oncol 2022;12:981154. [DOI: 10.3389/fonc.2022.981154] [Reference Citation Analysis]
59 Cifuentes-Bernal AM, Pham VVH, Li X, Liu L, Li J, Duy Le T. Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories. Brief Funct Genomics 2022:elac030. [PMID: 36124841 DOI: 10.1093/bfgp/elac030] [Reference Citation Analysis]
60 Talli I, Dovrolis N, Oulas A, Stavrakaki S, Makedou K, Spyrou GM, Maroulakou I. Novel clinical, molecular and bioinformatics insights into the genetic background of autism. Hum Genomics 2022;16:39. [PMID: 36117207 DOI: 10.1186/s40246-022-00415-x] [Reference Citation Analysis]
61 Tran MN, Lee S. The Molecular Mechanisms of Panax ginseng in Treating Type 2 Diabetes Mellitus: Network Pharmacology Analysis and Molecular Docking Validation. Evidence-Based Complementary and Alternative Medicine 2022;2022:1-11. [DOI: 10.1155/2022/3082109] [Reference Citation Analysis]
62 Meenakshi DU, Nandakumar S, Francis AP, Sweety P, Fuloria S, Fuloria NK, Subramaniyan V, Khan SA. Deep Learning and Site‐Specific Drug Delivery. Deep Learning for Targeted Treatments 2022. [DOI: 10.1002/9781119857983.ch1] [Reference Citation Analysis]
63 Xing N, Dong Z, Wu Q, Kan P, Han Y, Cheng X, Zhang B. Identification and validation of key molecules associated with humoral immune modulation in Parkinson’s disease based on bioinformatics. Front Immunol 2022;13:948615. [DOI: 10.3389/fimmu.2022.948615] [Reference Citation Analysis]
64 Zhang H, Feng T. Network-Based Data Analysis Reveals Ion Channel-Related Gene Features in COVID-19: A Bioinformatic Approach. Biochem Genet. [DOI: 10.1007/s10528-022-10280-x] [Reference Citation Analysis]
65 Lee H, Lee I, Park S, Jung M, Yang SG, Kwon T, Lee D. Investigation of Anti-Liver Cancer Activity of the Herbal Drug FDY003 Using Network Pharmacology. Evidence-Based Complementary and Alternative Medicine 2022;2022:1-14. [DOI: 10.1155/2022/5765233] [Reference Citation Analysis]
66 Leung CS, Rosenzweig S, Yoon B, Marinelli NA, Hollingsworth EW, Maguire AM, Cowen MM, Schmidt M, Imitola J, Gamsiz Uzun ED, Lizarraga SB. Dysregulation of The Chromatin Environment Leads to Differential Alternative Splicing as A Mechanism Of Disease In a Human Model of Autism Spectrum Disorders.. [DOI: 10.1101/2022.09.08.507162] [Reference Citation Analysis]
67 Liu Y, Liu X, Zhou W, Zhang J, Wu J, Guo S, Jia S, Wang H, Li J, Tan Y. Integrated bioinformatics analysis reveals potential mechanisms associated with intestinal flora intervention in nonalcoholic fatty liver disease. Medicine (Baltimore) 2022;101:e30184. [PMID: 36086766 DOI: 10.1097/MD.0000000000030184] [Reference Citation Analysis]
68 Du B, Yin Y, Wang Y, Fu H, Sun H, Yue Z, Yu S, Zhang Z. Calcium dobesilate efficiency in the treatment of diabetic kidney disease through suppressing MAPK and chemokine signaling pathways based on clinical evaluation and network pharmacology. Front Pharmacol 2022;13:850167. [DOI: 10.3389/fphar.2022.850167] [Reference Citation Analysis]
69 Guo H, Lv X, Li Y, Li M. Attention-based GCN Integrates Multi-omics Data for Breast Cancer Subtype Classification and Patient-specific Gene Marker Identification.. [DOI: 10.1101/2022.09.05.506572] [Reference Citation Analysis]
70 Wang S, Hao H, Jiao Y, Fu J, Guo Z, Guo Y, Yuan Y, Li P, Han S. Dandelion extract inhibits triple-negative breast cancer cell proliferation by interfering with glycerophospholipids and unsaturated fatty acids metabolism. Front Pharmacol 2022;13:942996. [DOI: 10.3389/fphar.2022.942996] [Reference Citation Analysis]
71 Zhan Z, Liu Z, Zhang C, Gao H, Lai J, Chen Y, Huang H. Anticancer effects of OSW-1 on glioma cells via regulation of the PI3K/AKT signal pathway: A network pharmacology approach and experimental validation in vitro and in vivo. Front Pharmacol 2022;13:967141. [DOI: 10.3389/fphar.2022.967141] [Reference Citation Analysis]
72 Huang L, Zhang L, Chen X. Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models. Brief Bioinform 2022:bbac358. [PMID: 36056743 DOI: 10.1093/bib/bbac358] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
73 Zhang F, Xia M, Jiang J, Wang S, Zhao Q, Yu C, Yu J, Xian D, Li X, Zhang L, Liu Y, Peng M. Machine learning and bioinformatics to identify 8 autophagy-related biomarkers and construct gene regulatory networks in dilated cardiomyopathy. Sci Rep 2022;12:15030. [PMID: 36056063 DOI: 10.1038/s41598-022-19027-5] [Reference Citation Analysis]
74 Lee H, Lee I, Park S, Jung M, Yang SG, Kwon T, Lee D. A Study on the Mechanism of Herbal Drug FDY003 for Colorectal Cancer Treatment by Employing Network Pharmacology. Natural Product Communications 2022;17:1934578X2211269. [DOI: 10.1177/1934578x221126964] [Reference Citation Analysis]
75 Lee H, Lee I, Park S, Jung M, Yang SG, Kwon T, Lee D. Unveiling the Mechanism of the Traditional Korean Medicinal Formula FDY003 on Glioblastoma Through a Computational Network Pharmacology Approach. Natural Product Communications 2022;17:1934578X2211263. [DOI: 10.1177/1934578x221126311] [Reference Citation Analysis]
76 Wen Y, Zhan Y, Tang S, Kang J, Wu R, Tang X. Mechanistic Prediction of Chinese Herb Compound (Zhi Zhu Ma Ren Pill) in the Treatment of Constipation Using Network Pharmacology and Molecular Docking. Natural Product Communications 2022;17:1934578X2211247. [DOI: 10.1177/1934578x221124780] [Reference Citation Analysis]
77 Xie Y, Yan F, Wang X, Yu L, Yan H, Pu Q, Li W, Yang Z. Mechanisms and network pharmacological analysis of Yangyin Fuzheng Jiedu prescription in the treatment of hepatocellular carcinoma. Cancer Med 2022. [PMID: 36043445 DOI: 10.1002/cam4.5064] [Reference Citation Analysis]
78 Tanty DK, Sahu PR, Behera S, Mohapatra R, Behera PM, Sahu SK. COMPUTATIONAL IDENTIFICATION VALIDATION AND STRUCTURAL CHARACTERIZATION OF SOME POTENTIAL CANDIDATE GENES FOR DIABETES MELLITUS.. [DOI: 10.1101/2022.08.26.505395] [Reference Citation Analysis]
79 Gao B, Zhao Y, Li G. Prediction of cancer driver genes through integrated analysis of differentially expressed genes at the individual level.. [DOI: 10.21203/rs.3.rs-1982883/v1] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
80 Lv Y, Wang X, Jiao Y, Wang Y, Wang N, Gao L, Zhang J. Interactome overlap between risk genes of epilepsy and targets of anti-epileptic drugs. PLoS ONE 2022;17:e0272428. [DOI: 10.1371/journal.pone.0272428] [Reference Citation Analysis]
81 Alsentzer E, Finlayson SG, Li MM, Kobren SN, Kohane IS, Undiagnosed Diseases Network. Simulation of undiagnosed patients with novel genetic conditions.. [DOI: 10.1101/2022.08.22.22279073] [Reference Citation Analysis]
82 Chen HY, Li Q, Zhou PP, Yang TX, Liu SW, Zhang TF, Cui Z, Lyu JJ, Wang YG. Mechanisms of Chinese Medicine in Gastroesophageal Reflux Disease Treatment: Data Mining and Systematic Pharmacology Study. Chin J Integr Med 2022. [PMID: 35997858 DOI: 10.1007/s11655-022-3538-3] [Reference Citation Analysis]
83 Rahaie Z, Rabiee HR, Alinejad-rokny H. DeepGenePrior: A deep learning model to prioritize genes affected by copy number variants.. [DOI: 10.1101/2022.08.22.504862] [Reference Citation Analysis]
84 Yip HF, Chowdhury D, Wang K, Liu Y, Gao Y, Lan L, Zheng C, Guan D, Lam KF, Zhu H, Tai X, Lu A. ReDisX, a machine learning approach, rationalizes rheumatoid arthritis and coronary artery disease patients uniquely upon identifying subpopulation differentiation markers from their genomic data. Front Med 2022;9. [DOI: 10.3389/fmed.2022.931860] [Reference Citation Analysis]
85 Marks BA, Choate LA, Sams K, Zhu L, Waidyaratne G, Danko CG, Coonrod SA. CRISPRa screen identifies a role for c-KIT signaling in tamoxifen resistance, potentially through upregulation of ABC transporters.. [DOI: 10.1101/2022.08.22.504845] [Reference Citation Analysis]
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297 Jang D, Jeong H, Kim CE, Leem J. A System-Level Mechanism of Anmyungambi Decoction for Obesity: A Network Pharmacological Approach. Biomolecules 2021;11:1881. [PMID: 34944525 DOI: 10.3390/biom11121881] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
298 Du J, Lin D, Yuan R, Chen X, Liu X, Yan J. Graph Embedding Based Novel Gene Discovery Associated With Diabetes Mellitus. Front Genet 2021;12:779186. [PMID: 34899863 DOI: 10.3389/fgene.2021.779186] [Reference Citation Analysis]
299 Ning W, Ma Y, Li S, Wang X, Pan H, Wei C, Zhang S, Bai D, Liu X, Deng Y, Acharya A, Pelekos G, Savkovic V, Li H, Gaus S, Haak R, Schmalz G, Ziebolz D, Ma Y, Xu Y. Shared Molecular Mechanisms between Atherosclerosis and Periodontitis by Analyzing the Transcriptomic Alterations of Peripheral Blood Monocytes. Comput Math Methods Med 2021;2021:1498431. [PMID: 34899963 DOI: 10.1155/2021/1498431] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
300 Wang T, Xu S, Zhang H, Lu X, Li S, Liu L, Kong X, Gao H, Wang X, Ning S, Wang J, Wang L. Competitive endogenous RNA network and pathway-based analysis of LncRNA single-nucleotide polymorphism in myasthenia gravis. Sci Rep 2021;11:23920. [PMID: 34907261 DOI: 10.1038/s41598-021-03357-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
301 Xie Z, Huang Y, Li X, Lun Y, Li X, He Y, Wu S, Wang S, Sun J, Zhang J. Atlas of circulating immune cells in Kawasaki disease. Int Immunopharmacol 2022;102:108396. [PMID: 34890998 DOI: 10.1016/j.intimp.2021.108396] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
302 Liu YW, Yang AX, Lu L, Huang TH. Predicting the Molecular Mechanism of Sini Jia Renshen Decoction in Treating Severe COVID-19 Patients Based on Network Pharmacology and Molecular Docking. Natural Product Communications 2021;16:1934578X2110592. [DOI: 10.1177/1934578x211059292] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
303 Yang H, Yue GGL, Leung PC, Wong CK, Lau CBS. A review on the molecular mechanisms, the therapeutic treatment including the potential of herbs and natural products, and target prediction of obesity-associated colorectal cancer. Pharmacol Res 2021;175:106031. [PMID: 34896542 DOI: 10.1016/j.phrs.2021.106031] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
304 Zhao BW, Hu L, You ZH, Wang L, Su XR. HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks. Brief Bioinform 2021:bbab515. [PMID: 34891172 DOI: 10.1093/bib/bbab515] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
305 Zhang D, Liu B, Jie X, Deng J, Lu Z, Lu F, Liu X. Uncovering Bupi Yishen Formula Pharmacological Mechanisms Against Chronic Kidney Disease by Network Pharmacology and Experimental Validation. Front Pharmacol 2021;12:761572. [PMID: 34867380 DOI: 10.3389/fphar.2021.761572] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
306 Wang K, Li K, Chen Y, Wei G, Yu H, Li Y, Meng W, Wang H, Gao L, Lu A, Peng J, Guan D. Computational Network Pharmacology-Based Strategy to Capture Key Functional Components and Decode the Mechanism of Chai-Hu-Shu-Gan-San in Treating Depression. Front Pharmacol 2021;12:782060. [PMID: 34867413 DOI: 10.3389/fphar.2021.782060] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
307 Liang Y, Liang B, Chen W, Wu XR, Liu-Huo WS, Zhao LZ. Potential Mechanism of Dingji Fumai Decoction Against Atrial Fibrillation Based on Network Pharmacology, Molecular Docking, and Experimental Verification Integration Strategy. Front Cardiovasc Med 2021;8:712398. [PMID: 34859062 DOI: 10.3389/fcvm.2021.712398] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
308 Zeng S, Yu Z, Xu X, Liu Y, Li J, Zhao D, Song C, Lu H, Zhao Y, Lu W, Zou X. Identification of the Active Constituents and Significant Pathways of Shen-qi-Yi-zhu Decoction on Antigastric Cancer: A Network Pharmacology Research and Experimental Validation. Evid Based Complement Alternat Med 2021;2021:6642171. [PMID: 34853601 DOI: 10.1155/2021/6642171] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
309 Rey F, Pandini C, Messa L, Launi R, Barzaghini B, Zangaglia R, Raimondi MT, Gagliardi S, Cereda C, Zuccotti GV, Carelli S. α-Synuclein antisense transcript SNCA-AS1 regulates synapses- and aging-related genes suggesting its implication in Parkinson's disease. Aging Cell 2021;20:e13504. [PMID: 34799977 DOI: 10.1111/acel.13504] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
310 Naik AA, Sivaramakrishnan V. Systems analysis of steroid induced osteonecrosis shows role for heme and vitamin D in pathogenesis. Gene Reports 2021;25:101383. [DOI: 10.1016/j.genrep.2021.101383] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
311 Xu X, Chen Y, Zhang X, Zhang R, Chen X, Liu S, Sun Q. Modular characteristics and the mechanism of Chinese medicine's treatment of gastric cancer: a data mining and pharmacology-based identification. Ann Transl Med 2021;9:1777. [PMID: 35071471 DOI: 10.21037/atm-21-6301] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
312 Li F, Hatano T, Hattori N. Systematic analysis of the molecular mechanisms mediated by coffee in Parkinson’s disease based on network pharmacology approach. Journal of Functional Foods 2021;87:104764. [DOI: 10.1016/j.jff.2021.104764] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
313 Ducreux B, Frappier J, Bruno C, Doukani A, Guilleman M, Simon E, Martinaud A, Bourc'his D, Barberet J, Fauque P. Genome-Wide Analysis of DNA Methylation in Buccal Cells of Children Conceived through IVF and ICSI. Genes (Basel) 2021;12:1912. [PMID: 34946866 DOI: 10.3390/genes12121912] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
314 Cao C, Kossinna P, Kwok D, Li Q, He J, Su L, Guo X, Zhang Q, Long Q. Disentangling genetic feature selection and aggregation in transcriptome-wide association studies. Genetics 2021:iyab216. [PMID: 34849857 DOI: 10.1093/genetics/iyab216] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
315 Lin CX, Li HD, Deng C, Guan Y, Wang J. TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data. Nucleic Acids Res 2021:gkab1133. [PMID: 34850130 DOI: 10.1093/nar/gkab1133] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
316 Wang L, Lin J, Li W. Pharmacological Mechanism of Danggui-Sini Formula for Intervertebral Disc Degeneration: A Network Pharmacology Study. Biomed Res Int 2021;2021:5165075. [PMID: 34805401 DOI: 10.1155/2021/5165075] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
317 Lv Y, Huang Y, Xu X, Wang Z, Yu Y, Ma Y, Wu M. Integrated multi-omics data analysis identifies a novel genetics-risk gene of IRF4 associated with prognosis of oral cavity cancer.. [DOI: 10.1101/2021.11.17.21266500] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
318 Yang H, Arif M, Yuan M, Li X, Shong K, Türkez H, Nielsen J, Uhlén M, Borén J, Zhang C, Mardinoglu A. A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease. iScience 2021;24:103222. [PMID: 34712920 DOI: 10.1016/j.isci.2021.103222] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
319 Li J, Lim RG, Kaye JA, Dardov V, Coyne AN, Wu J, Milani P, Cheng A, Thompson TG, Ornelas L, Frank A, Adam M, Banuelos MG, Casale M, Cox V, Escalante-Chong R, Daigle JG, Gomez E, Hayes L, Holewenski R, Lei S, Lenail A, Lima L, Mandefro B, Matlock A, Panther L, Patel-Murray NL, Pham J, Ramamoorthy D, Sachs K, Shelley B, Stocksdale J, Trost H, Wilhelm M, Venkatraman V, Wassie BT, Wyman S, Yang S, Van Eyk JE, Lloyd TE, Finkbeiner S, Fraenkel E, Rothstein JD, Sareen D, Svendsen CN, Thompson LM; NeuroLINCS Consortium., NYGC ALS Consortium. An integrated multi-omic analysis of iPSC-derived motor neurons from C9ORF72 ALS patients. iScience 2021;24:103221. [PMID: 34746695 DOI: 10.1016/j.isci.2021.103221] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
320 Chasovskikh NY, Chizhik EE, Bobrysheva AA. Bioinformatic Annotation of Genes for Alzheimer’s Disease and Coronary Heart Disease. Russ J Genet 2021;57:1285-93. [DOI: 10.1134/s102279542111003x] [Reference Citation Analysis]
321 Wu J, Zhao M, Li T, Sun J, Chen Q, Yin C, Jia Z, Zhao C, Lin G, Ni Y, Xie G, Shi J, He K. HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure. Database (Oxford) 2021;2021:baab076. [PMID: 34791105 DOI: 10.1093/database/baab076] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
322 Liang X, Chen Y, Fan Y. Bioinformatics approach to identify common gene signatures of patients with coronavirus 2019 and lung adenocarcinoma. Environ Sci Pollut Res Int 2021. [PMID: 34775559 DOI: 10.1007/s11356-021-17321-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
323 Maddouri O, Qian X, Yoon BJ. Deep graph representations embed network information for robust disease marker identification. Bioinformatics 2021:btab772. [PMID: 34788368 DOI: 10.1093/bioinformatics/btab772] [Reference Citation Analysis]
324 Jiang T, Zhou W, Chang Z, Zou H, Bai J, Sun Q, Pan T, Xu J, Li Y, Li X. ImmReg: the regulon atlas of immune-related pathways across cancer types. Nucleic Acids Res 2021:gkab1041. [PMID: 34755873 DOI: 10.1093/nar/gkab1041] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
325 Kim P, Tan H, Liu J, Lee H, Jung H, Kumar H, Zhou X. FusionGDB 2.0: fusion gene annotation updates aided by deep learning. Nucleic Acids Res 2021:gkab1056. [PMID: 34755868 DOI: 10.1093/nar/gkab1056] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
326 Thomas JP, Modos D, Korcsmaros T, Brooks-Warburton J. Network Biology Approaches to Achieve Precision Medicine in Inflammatory Bowel Disease. Front Genet 2021;12:760501. [PMID: 34745229 DOI: 10.3389/fgene.2021.760501] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
327 Khan AA, Farooq F, Jain SK, Golinska P, Rai M. Comparative Host-Pathogen Interaction Analyses of SARS-CoV2 and Aspergillus fumigatus, and Pathogenesis of COVID-19-Associated Aspergillosis. Microb Ecol 2021. [PMID: 34738157 DOI: 10.1007/s00248-021-01913-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
328 Hukku A, Sampson MG, Luca F, Pique-regi R, Wen X. Analyzing and Reconciling Colocalization and Transcriptome-wide Association Studies from the Perspective of Inferential Reproducibility.. [DOI: 10.1101/2021.10.29.466468] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
329 Lee H, Lee I, Kang K, Jung M, Yang SG, Kwon T, Lee D. Network Pharmacological Dissection of the Mechanisms of Eucommiae Cortex-Achyranthis Radix Combination for Intervertebral Disc Herniation Treatment. Natural Product Communications 2021;16:1934578X2110550. [DOI: 10.1177/1934578x211055024] [Reference Citation Analysis]
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331 Zhu X, Hao M, Yu X, Lin W, Ma X, Xu Q, Cheng L, Kuang H. Dissecting the Pathogenesis of Diabetic Retinopathy Based on the Biological ceRNA Network and Genome Variation Disturbance. Comput Math Methods Med 2021;2021:9833142. [PMID: 34707685 DOI: 10.1155/2021/9833142] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
332 Qiu Y, Mao ZJ, Ruan YP, Zhang X. Exploration of the anti-insomnia mechanism of Ganoderma by central-peripheral multi-level interaction network analysis. BMC Microbiol 2021;21:296. [PMID: 34715778 DOI: 10.1186/s12866-021-02361-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
333 Petti M, Farina L, Francone F, Lucidi S, Macali A, Palagi L, De Santis M. MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene Prediction. Genes (Basel) 2021;12:1713. [PMID: 34828319 DOI: 10.3390/genes12111713] [Reference Citation Analysis]
334 Wu G, Zhao J, Zhao J, Song N, Zheng N, Zeng Y, Yao T, Zhang J, Weng J, Yuan M, Zhou H, Shen X, Li H, Zhang W. Exploring biological basis of Syndrome differentiation in coronary heart disease patients with two distinct Syndromes by integrated multi-omics and network pharmacology strategy. Chin Med 2021;16:109. [PMID: 34702323 DOI: 10.1186/s13020-021-00521-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
335 Saha S, Singh HN, Soliman A, Rajasekaran S. A novel computational methodology for GWAS multi-locus analysis based on graph theory and machine learning.. [DOI: 10.1101/2021.10.22.21265388] [Reference Citation Analysis]
336 Liu Y, Ye X, Yu CY, Shao W, Hou J, Feng W, Zhang J, Huang K. TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery. BMC Bioinformatics 2021;22:111. [PMID: 34689740 DOI: 10.1186/s12859-021-03964-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
337 Ding P, Liu J, Li Q, Lu Q, Li J, Shi R, Shi L, Mao T, Ge D, Niu H, Peng G, Wang Z. Investigation of the Active Ingredients and Mechanism of Hudi Enteric-Coated Capsules in DSS-Induced Ulcerative Colitis Mice Based on Network Pharmacology and Experimental Verification. Drug Des Devel Ther 2021;15:4259-73. [PMID: 34675488 DOI: 10.2147/DDDT.S326029] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
338 Xu J, Hou Y, Zhou Y, Hu M, Cheng F. A Network-based Deep Learning Framework Catalyzes GWAS and Multi-Omics Findings to Biology and Drug Repurposing for Alzheimer’s Disease.. [DOI: 10.1101/2021.10.20.465087] [Reference Citation Analysis]
339 Saha S, Soliman A, Rajasekaran S. Novel graph theoretic biological pathway network analytics methods for analyzing and discovering Alzheimer’s disease related genes.. [DOI: 10.1101/2021.10.19.465019] [Reference Citation Analysis]
340 Bai Z, Sun H, Li X, Wu J, Yuan H, Zhang G, Yang H, Shi H. Time-ordered dysregulated ceRNA networks reveal disease progression and diagnostic biomarkers in ischemic and dilated cardiomyopathy. Cell Death Discov 2021;7:296. [PMID: 34657123 DOI: 10.1038/s41420-021-00687-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
341 Wang Z, Zhang Q, Lin JR, Jabalameli MR, Mitra J, Nguyen N, Zhang ZD. Deep post-GWAS analysis identifies potential risk genes and risk variants for Alzheimer's disease, providing new insights into its disease mechanisms. Sci Rep 2021;11:20511. [PMID: 34654853 DOI: 10.1038/s41598-021-99352-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
342 Shen W, Yin Y, Li T, Cao G. Euxanthone inhibits lipopolysaccharide-induced injury, inflammatory response, and MUC5AC hypersecretion in human airway epithelial cells by the TLR4/MyD88 pathway. J Appl Toxicol 2021. [PMID: 34655103 DOI: 10.1002/jat.4249] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
343 Ba X, Huang Y, Shen P, Huang Y, Wang H, Han L, Lin WJ, Yan HJ, Xu LJ, Qin K, Chen Z, Tu SH. WTD Attenuating Rheumatoid Arthritis via Suppressing Angiogenesis and Modulating the PI3K/AKT/mTOR/HIF-1α Pathway. Front Pharmacol 2021;12:696802. [PMID: 34646130 DOI: 10.3389/fphar.2021.696802] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
344 Ou L, Kang W, Liang Z, Gao F, Dong T, Wei P, Li M. Investigation of anti-osteoporosis mechanisms of Rehmanniae Radix Preparata based on network pharmacology and experimental verification. J Orthop Surg Res 2021;16:599. [PMID: 34649566 DOI: 10.1186/s13018-021-02751-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
345 Ramachandran D, Dörk T. Genomic Risk Factors for Cervical Cancer. Cancers (Basel) 2021;13:5137. [PMID: 34680286 DOI: 10.3390/cancers13205137] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
346 Zhang Y, Lu L, Liu Y, Yang A, Yang Y. Predicting the Molecular Mechanism of Shenling Baizhu San in Treating Convalescent Patients With COVID-19 Based on Network Pharmacology and Molecular Docking. Natural Product Communications 2021;16:1934578X2110460. [DOI: 10.1177/1934578x211046069] [Reference Citation Analysis]
347 Alonso L, Piron A, Morán I, Guindo-Martínez M, Bonàs-Guarch S, Atla G, Miguel-Escalada I, Royo R, Puiggròs M, Garcia-Hurtado X, Suleiman M, Marselli L, Esguerra JLS, Turatsinze JV, Torres JM, Nylander V, Chen J, Eliasson L, Defrance M, Amela R, Mulder H, Gloyn AL, Groop L, Marchetti P, Eizirik DL, Ferrer J, Mercader JM, Cnop M, Torrents D; MAGIC. TIGER: The gene expression regulatory variation landscape of human pancreatic islets. Cell Rep 2021;37:109807. [PMID: 34644572 DOI: 10.1016/j.celrep.2021.109807] [Cited by in Crossref: 18] [Cited by in F6Publishing: 22] [Article Influence: 18.0] [Reference Citation Analysis]
348 Huang K, Xiao C, Glass LM, Critchlow CW, Gibson G, Sun J. Machine learning applications for therapeutic tasks with genomics data. Patterns (N Y) 2021;2:100328. [PMID: 34693370 DOI: 10.1016/j.patter.2021.100328] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
349 Li JM, Mu ZN, Zhang TT, Li X, Shang Y, Hu GH. Exploring the Potential Mechanism of Shennao Fuyuan Tang for Ischemic Stroke Based on Network Pharmacology and Molecular Docking. Evid Based Complement Alternat Med 2021;2021:6015702. [PMID: 34603472 DOI: 10.1155/2021/6015702] [Reference Citation Analysis]
350 Zeng Y, Xiao S, Yang L, Ma K, Shang H, Gao Y, Wang Y, Zhai F, Xiang R. Systematic analysis of the mechanism of Xiaochaihu decoction in hepatitis B treatment via network pharmacology and molecular docking. Comput Biol Med 2021;138:104894. [PMID: 34607274 DOI: 10.1016/j.compbiomed.2021.104894] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
351 Lee H, Lee I, Kang K, Park S, Kwon T, Lee D. A Network Pharmacology Analysis of the Systems-Perspective Anticancer Mechanisms of the Herbal Drug FDY2004 for Breast Cancer. Natural Product Communications 2021;16:1934578X2110491. [DOI: 10.1177/1934578x211049133] [Reference Citation Analysis]
352 Fan X, Guo X, Li Y, Xu M. Utilizing Network Pharmacology to Explore the Possible Mechanism of Coptidis Rhizoma in Kawasaki Disease. Front Pediatr 2021;9:708553. [PMID: 34589453 DOI: 10.3389/fped.2021.708553] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
353 Li QS, De Muynck L. Differentially expressed genes in Alzheimer's disease highlighting the roles of microglia genes including OLR1 and astrocyte gene CDK2AP1. Brain Behav Immun Health 2021;13:100227. [PMID: 34589742 DOI: 10.1016/j.bbih.2021.100227] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
354 Xuan C, Luo Y, Xiong Y, Zhang Y, Tao C, Cao W. Multitarget mechanism of Yiqi Jiedu Huayu decoction on diabetic cardiomyopathy based on network pharmacology. European Journal of Integrative Medicine 2021;47:101388. [DOI: 10.1016/j.eujim.2021.101388] [Reference Citation Analysis]
355 Conceição SIR, Couto FM. Text Mining for Building Biomedical Networks Using Cancer as a Case Study. Biomolecules 2021;11:1430. [PMID: 34680062 DOI: 10.3390/biom11101430] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
356 Lee H, Lee I, Kang K, Park S, Jung M, Yang SG, Kwon T, Lee D. Network Pharmacology-Based Dissection of the Comprehensive Molecular Mechanisms of the Herbal Prescription FDY003 Against Estrogen Receptor-Positive Breast Cancer. Natural Product Communications 2021;16:1934578X2110443. [DOI: 10.1177/1934578x211044377] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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359 Han L, Yang HY, Zheng YJ, Wei XX, Dan WC, Zhang LL, Ding QY, Ma X, Wang XM, Zhao LH, Tong XL. Mechanism exploration of Gouqi-wentang formula against type 2 diabetes mellitus by phytochemistry and network pharmacology-based analysis and biological validation. Chin Med 2021;16:93. [PMID: 34579756 DOI: 10.1186/s13020-021-00479-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
360 Giudice L. Simpati: patient classifier identifies signature pathways based on similarity networks for the disease prediction.. [DOI: 10.1101/2021.09.23.461100] [Reference Citation Analysis]
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364 Meng LB, Hu GF, Shan MJ, Zhang YM, Yu ZM, Liu YQ, Xu HX, Wang L, Gong T, Liu DP. Citrate Synthase and OGDH as Potential Biomarkers of Atherosclerosis under Chronic Stress. Oxid Med Cell Longev 2021;2021:9957908. [PMID: 34539976 DOI: 10.1155/2021/9957908] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
365 Shang H, Zhang H, Ren Z, Zhao H, Zhang Z, Tong J. Characterization of the Potential Role of NTPCR in Epithelial Ovarian Cancer by Integrating Transcriptomic and Metabolomic Analysis. Front Genet 2021;12:695245. [PMID: 34539736 DOI: 10.3389/fgene.2021.695245] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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371 He J, Wo D, Ma E, Wang Q, Chen J, Peng J, Zhu W, Ren DN. Network pharmacology-based analysis in determining the mechanisms of Huoxin pill in protecting against myocardial infarction. Pharm Biol 2021;59:1191-202. [PMID: 34493157 DOI: 10.1080/13880209.2021.1964542] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
372 Zhang H, Dan W, He Q, Guo J, Dai S, Hui X, Meng P, Cao Q, Yun W, Guo X. Exploring the Biological Mechanism of Huang Yam in Treating Tumors and Preventing Antitumor Drug-Induced Cardiotoxicity Using Network Pharmacology and Molecular Docking Technology. Evid Based Complement Alternat Med 2021;2021:9988650. [PMID: 34484411 DOI: 10.1155/2021/9988650] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
373 Ye L, Zhang Y, Yang X, Shen F, Xu B. An Ovarian Cancer Susceptible Gene Prediction Method Based on Deep Learning Methods. Front Cell Dev Biol 2021;9:730475. [PMID: 34485310 DOI: 10.3389/fcell.2021.730475] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
374 Li H, Jiang X, Shen X, Sun Y, Jiang N, Zeng J, Lin J, Yue L, Lai J, Li Y, Wu A, Wang L, Qin D, Huang F, Mei Q, Yang J, Wu J. TMEA, a Polyphenol in Sanguisorba officinalis, Promotes Thrombocytopoiesis by Upregulating PI3K/Akt Signaling. Front Cell Dev Biol 2021;9:708331. [PMID: 34485295 DOI: 10.3389/fcell.2021.708331] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
375 Zhu T, Qi X, Chen Y, Wang L, Lv X, Yang W, Zhang J, Li K, Ning Z, Jiang Z, Qu L. Positive selection of skeleton-related genes during duck domestication revealed by whole genome sequencing. BMC Ecol Evol 2021;21:165. [PMID: 34488647 DOI: 10.1186/s12862-021-01894-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
376 Dehghan Z, Mohammadi-Yeganeh S, Sameni M, Mirmotalebisohi SA, Zali H, Salehi M. Repurposing new drug candidates and identifying crucial molecules underlying PCOS Pathogenesis Based On Bioinformatics Analysis. Daru 2021. [PMID: 34480296 DOI: 10.1007/s40199-021-00413-9] [Reference Citation Analysis]
377 Segura MA, Orth DF, Giambartolomei C, Bini G, Samaras E, Kassis M, Aisopos F, De Argila JR, Paliouras G, Garrard P, Tartaglia GG. Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer’s disease.. [DOI: 10.1101/2021.08.30.21262815] [Reference Citation Analysis]
378 Chen K, Zhang L, Qu Z, Wan F, Li J, Yang Y, Yan H, Huang S. Uncovering the Mechanisms and Molecular Targets of Weibing Formula 1 against Gastritis: Coupling Network Pharmacology with GEO Database. Biomed Res Int 2021;2021:5533946. [PMID: 34471638 DOI: 10.1155/2021/5533946] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
379 de Jong JO, Llapashtica C, Genestine M, Strauss K, Provenzano F, Sun Y, Zhu H, Cortese GP, Brundu F, Brigatti KW, Corneo B, Migliori B, Tomer R, Kushner SA, Kellendonk C, Javitch JA, Xu B, Markx S. Cortical overgrowth in a preclinical forebrain organoid model of CNTNAP2-associated autism spectrum disorder. Nat Commun 2021;12:4087. [PMID: 34471112 DOI: 10.1038/s41467-021-24358-4] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 16.0] [Reference Citation Analysis]
380 Fan S, Shi X, Wang A, Hou T, Li K, Diao Y. Evaluation of the key active ingredients of 'Radix Astragali and Rehmanniae Radix Mixture' and related signaling pathways involved in ameliorating diabetic foot ulcers from the perspective of TCM-related theories. J Biomed Inform 2021;123:103904. [PMID: 34474187 DOI: 10.1016/j.jbi.2021.103904] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
381 Wang S, Ma J, Zeng Y, Zhou G, Wang Y, Zhou W, Sun X, Wu M. Icariin, an Up-and-Coming Bioactive Compound Against Neurological Diseases: Network Pharmacology-Based Study and Literature Review. Drug Des Devel Ther 2021;15:3619-41. [PMID: 34447243 DOI: 10.2147/DDDT.S310686] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
382 Wang K, Lei L, Cao J, Qiao Y, Liang R, Duan J, Feng Z, Ding Y, Ma Y, Yang Z, Zhang E. Network pharmacology-based prediction of the active compounds and mechanism of Buyang Huanwu Decoction for ischemic stroke. Exp Ther Med 2021;22:1050. [PMID: 34434264 DOI: 10.3892/etm.2021.10484] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
383 Li S, Mai Z, Gu W, Ogbuehi AC, Acharya A, Pelekos G, Ning W, Liu X, Deng Y, Li H, Lethaus B, Savkovic V, Zimmerer R, Ziebolz D, Schmalz G, Wang H, Xiao H, Zhao J. Molecular Subtypes of Oral Squamous Cell Carcinoma Based on Immunosuppression Genes Using a Deep Learning Approach. Front Cell Dev Biol 2021;9:687245. [PMID: 34422810 DOI: 10.3389/fcell.2021.687245] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
384 Chong LC, Gandhi G, Lee JM, Yeo WWY, Choi SB. Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review. Int J Mol Sci 2021;22:8962. [PMID: 34445667 DOI: 10.3390/ijms22168962] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
385 Vellosillo P, Minguez P. A global map of associations between types of protein posttranslational modifications and human genetic diseases. iScience 2021;24:102917. [PMID: 34430807 DOI: 10.1016/j.isci.2021.102917] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
386 Rosenthal SB, Willsey HR, Xu Y, Mei Y, Dea J, Wang S, Curtis C, Sempou E, Khokha MK, Chi NC, Willsey AJ, Fisch KM, Ideker T. A convergent molecular network underlying autism and congenital heart disease. Cell Syst 2021:S2405-4712(21)00287-8. [PMID: 34411509 DOI: 10.1016/j.cels.2021.07.009] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
387 Han N, Li H, Wang H. MicroRNA-203 inhibits epithelial-mesenchymal transition, migration, and invasion of renal cell carcinoma cells via the inactivation of the PI3K/AKT signaling pathway by inhibiting CAV1. Cell Adh Migr 2020;14:227-41. [PMID: 32990143 DOI: 10.1080/19336918.2020.1827665] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
388 Pan Y, Lei X, Zhang Y. Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach. Med Res Rev 2021. [PMID: 34346083 DOI: 10.1002/med.21847] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 12.0] [Reference Citation Analysis]
389 Serrano Nájera G, Narganes Carlón D, Crowther DJ. TrendyGenes, a computational pipeline for the detection of literature trends in academia and drug discovery. Sci Rep 2021;11:15747. [PMID: 34344904 DOI: 10.1038/s41598-021-94897-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
390 Chen XL, Tang C, Xiao QL, Pang ZH, Zhou DD, Xu J, Wang Q, Zhao YX, Zhu QY. Mechanism of Fei-Xian Formula in the Treatment of Pulmonary Fibrosis on the Basis of Network Pharmacology Analysis Combined with Molecular Docking Validation. Evid Based Complement Alternat Med 2021;2021:6658395. [PMID: 34394391 DOI: 10.1155/2021/6658395] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
391 Dutta P, Saha S, Naskar S. A multi-objective based PSO approach for inferring pathway activity utilizing protein interactions. Multimed Tools Appl 2021;80:30283-30303. [DOI: 10.1007/s11042-020-09269-8] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
392 Yang J, Jia Z, Xiao Z, Zhao J, Lu Y, Chu L, Shao H, Pei L, Zhang S, Chen Y. Baicalin Rescues Cognitive Dysfunction, Mitigates Neurodegeneration, and Exerts Anti-Epileptic Effects Through Activating TLR4/MYD88/Caspase-3 Pathway in Rats. Drug Des Devel Ther 2021;15:3163-80. [PMID: 34321866 DOI: 10.2147/DDDT.S314076] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
393 Dai J, Leung M, Guan W, Guo HT, Krasnow RE, Wang TJ, El-Rifai W, Zhao Z, Reed T. Whole-Genome Differentially Hydroxymethylated DNA Regions among Twins Discordant for Cardiovascular Death. Genes (Basel) 2021;12:1183. [PMID: 34440357 DOI: 10.3390/genes12081183] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
394 Zheng W, Wu H, Liu C, Yan Q, Wang T, Wu P, Liu X, Jiang Y, Zhan S. Identification of COVID-19 and Dengue Host Factor Interaction Networks Based on Integrative Bioinformatics Analyses. Front Immunol 2021;12:707287. [PMID: 34394108 DOI: 10.3389/fimmu.2021.707287] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
395 Liu T, Xu P, Qi S, Ke S, Hu Q, Zhao P, Li J. Network Pharmacology-Based Mechanistic Investigation of Jinshui Huanxian Formula Acting on Idiopathic Pulmonary Fibrosis. Evid Based Complement Alternat Med 2021;2021:8634705. [PMID: 34306156 DOI: 10.1155/2021/8634705] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
396 Ye L, Lin Y, Fan XD, Chen Y, Deng Z, Yang Q, Lei X, Mao J, Cui C. Identify Inflammatory Bowel Disease-Related Genes Based on Machine Learning. Front Cell Dev Biol 2021;9:722410. [PMID: 34381790 DOI: 10.3389/fcell.2021.722410] [Reference Citation Analysis]
397 Yang H, Arif M, Yuan M, Li X, Shong KE, Turkez H, Nielsen J, Uhlén M, Borén J, Cheng Z, Mardinoglu A. A network-based approach reveals the dysregulated transcriptional regulation in non-alcohol fatty liver disease.. [DOI: 10.1101/2021.07.24.453650] [Reference Citation Analysis]
398 Islam MB, Chowdhury UN, Nain Z, Uddin S, Ahmed MB, Moni MA. Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Comput Biol Med 2021;136:104668. [PMID: 34340124 DOI: 10.1016/j.compbiomed.2021.104668] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
399 Wang B, Wu Z, Li W, Liu G, Tang Y. Insights into the molecular mechanisms of Huangqi decoction on liver fibrosis via computational systems pharmacology approaches. Chin Med 2021;16:59. [PMID: 34301291 DOI: 10.1186/s13020-021-00473-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
400 Hu J, Lepore R, Dobson RJB, Al-Chalabi A, M Bean D, Iacoangeli A. DGLinker: flexible knowledge-graph prediction of disease-gene associations. Nucleic Acids Res 2021;49:W153-61. [PMID: 34125897 DOI: 10.1093/nar/gkab449] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
401 Yaoxing H, Danchun Y, Xiaojuan S, Shuman J, Qingqing Y, Lin J. Identification of Novel Susceptible Genes of Gastric Cancer Based on Integrated Omics Data. Front Cell Dev Biol 2021;9:712020. [PMID: 34354996 DOI: 10.3389/fcell.2021.712020] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
402 Qin C, Luo L, Cui Y, Jiang L, Li B, Lou Y, Weng Z, Lou J, Liu C, Weng C, Wang Z, Ji Y. Anti-Autophagy Mechanism of Zhi Gan Prescription Based on Network Pharmacology in Nonalcoholic Steatohepatitis Rats. Front Pharmacol 2021;12:708479. [PMID: 34349657 DOI: 10.3389/fphar.2021.708479] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
403 Attwood MM, Schiöth HB. Characterization of Five Transmembrane Proteins: With Focus on the Tweety, Sideroflexin, and YIP1 Domain Families. Front Cell Dev Biol 2021;9:708754. [PMID: 34350187 DOI: 10.3389/fcell.2021.708754] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
404 Liang B, Liang Y, Li R, Zhang H, Gu N. Integrating systematic pharmacology-based strategy and experimental validation to explore the synergistic pharmacological mechanisms of Guanxin V in treating ventricular remodeling. Bioorg Chem 2021;115:105187. [PMID: 34303037 DOI: 10.1016/j.bioorg.2021.105187] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
405 Li D, Cai C, Liao Y, Wu Q, Ke H, Guo P, Wang Q, Ding B, Fang J, Fang S. Systems pharmacology approach uncovers the therapeutic mechanism of medicarpin against scopolamine-induced memory loss. Phytomedicine 2021;91:153662. [PMID: 34333326 DOI: 10.1016/j.phymed.2021.153662] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
406 Bourgeois R, Bourgault J, Despres AA, Perrot N, Guertin J, Girard A, Mitchell PL, Gotti C, Bourassa S, Scipione CA, Gaudreault N, Boffa MB, Koschinsky ML, Pibarot P, Droit A, Thériault S, Mathieu P, Bossé Y, Arsenault BJ. Lipoprotein Proteomics and Aortic Valve Transcriptomics Identify Biological Pathways Linking Lipoprotein(a) Levels to Aortic Stenosis. Metabolites 2021;11:459. [PMID: 34357353 DOI: 10.3390/metabo11070459] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
407 Chen D, Wu W, Yi L, Feng Y, Chang C, Chen S, Gao J, Chen G, Zhen G. A Potential circRNA-miRNA-mRNA Regulatory Network in Asthmatic Airway Epithelial Cells Identified by Integrated Analysis of Microarray Datasets. Front Mol Biosci 2021;8:703307. [PMID: 34336929 DOI: 10.3389/fmolb.2021.703307] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
408 Liu T, Ye P, Ye Y, Han B. MicroRNA-216b targets HK2 to potentiate autophagy and apoptosis of breast cancer cells via the mTOR signaling pathway. Int J Biol Sci 2021;17:2970-83. [PMID: 34345220 DOI: 10.7150/ijbs.48933] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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411 Ou L, Kang W, Zhang J, Wei P, Li M, Gao F, Dong T. Network Pharmacology-Based Investigation on the Anti-Osteoporosis Mechanism of Astragaloside IV. Natural Product Communications 2021;16:1934578X2110295. [DOI: 10.1177/1934578x211029549] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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413 Zhang N, Wang H, Xu C, Zhang L, Zang T. DeepGP: An Integrated Deep Learning Method for Endocrine Disease Gene Prediction Using Omics Data. Front Cell Dev Biol 2021;9:700061. [PMID: 34295899 DOI: 10.3389/fcell.2021.700061] [Reference Citation Analysis]
414 Figueiredo RQ, Raschka T, Kodamullil AT, Hofmann-Apitius M, Mubeen S, Domingo-Fernández D. Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms. Nucleic Acids Res 2021:gkab556. [PMID: 34197603 DOI: 10.1093/nar/gkab556] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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420 Liu Y, Liu N, Bai F, Liu Q. Identifying ceRNA Networks Associated With the Susceptibility and Persistence of Atrial Fibrillation Through Weighted Gene Co-Expression Network Analysis. Front Genet 2021;12:653474. [PMID: 34249084 DOI: 10.3389/fgene.2021.653474] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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482 Liang Y, Huang R, Chen Y, Zhong J, Deng J, Wang Z, Wu Z, Li M, Wang H, Sun Y. Study on the Sleep-Improvement Effects of Hemerocallis citrina Baroni in Drosophila melanogaster and Targeted Screening to Identify Its Active Components and Mechanism. Foods 2021;10:883. [PMID: 33920660 DOI: 10.3390/foods10040883] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
483 Liu Z, Sun D, Zhu Q, Liu X. The screening of immune-related biomarkers for prognosis of lung adenocarcinoma. Bioengineered 2021;12:1273-85. [PMID: 33870858 DOI: 10.1080/21655979.2021.1911211] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 13.0] [Reference Citation Analysis]
484 Wang LL, Lo K. Text mining approaches for dealing with the rapidly expanding literature on COVID-19. Brief Bioinform 2021;22:781-99. [PMID: 33279995 DOI: 10.1093/bib/bbaa296] [Cited by in Crossref: 36] [Cited by in F6Publishing: 38] [Article Influence: 36.0] [Reference Citation Analysis]
485 Mahmud SMH, Al-Mustanjid M, Akter F, Rahman MS, Ahmed K, Rahman MH, Chen W, Moni MA. Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients. Brief Bioinform 2021:bbab115. [PMID: 33847347 DOI: 10.1093/bib/bbab115] [Cited by in Crossref: 20] [Cited by in F6Publishing: 26] [Article Influence: 20.0] [Reference Citation Analysis]
486 Lee WY, Lee CY, Kim CE, Kim JH. Investigating the Biomarkers of the Sasang Constitution via Network Pharmacology Approach. Evid Based Complement Alternat Med 2021;2021:6665130. [PMID: 33936241 DOI: 10.1155/2021/6665130] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
487 Hossain SMM, Halsana AA, Khatun L, Ray S, Mukhopadhyay A. Discovering key transcriptomic regulators in pancreatic ductal adenocarcinoma using Dirichlet process Gaussian mixture model. Sci Rep 2021;11:7853. [PMID: 33846515 DOI: 10.1038/s41598-021-87234-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
488 Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P. Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Divers 2021;25:1315-60. [PMID: 33844136 DOI: 10.1007/s11030-021-10217-3] [Cited by in Crossref: 83] [Cited by in F6Publishing: 48] [Article Influence: 83.0] [Reference Citation Analysis]
489 Zhang Y, Lu W, Chen X, Cao Y, Yang Z. A Bioinformatic Analysis of Correlations between Polymeric Immunoglobulin Receptor (PIGR) and Liver Fibrosis Progression. Biomed Res Int 2021;2021:5541780. [PMID: 33937393 DOI: 10.1155/2021/5541780] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
490 Jeong HH, Chandrakantan A, Adler AC. Obstructive Sleep Apnea and Dementia-Common Gene Associations through Network-Based Identification of Common Driver Genes. Genes (Basel) 2021;12:542. [PMID: 33918603 DOI: 10.3390/genes12040542] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
491 Mun S, Kim S, Lee W, Kang K, Meyer TJ, Han BG, Han K, Kim HS. A study of transposable element-associated structural variations (TASVs) using a de novo-assembled Korean genome. Exp Mol Med 2021;53:615-30. [PMID: 33833373 DOI: 10.1038/s12276-021-00586-y] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
492 Zhang Y, Zhao Z, Chen H, Fu Y, Wang W, Li Q, Li X, Wang X, Fan G, Zhang Y. The Underlying Molecular Mechanisms Involved in Traditional Chinese Medicine Smilax china L. for the Treatment of Pelvic Inflammatory Disease. Evid Based Complement Alternat Med 2021;2021:5552532. [PMID: 33927774 DOI: 10.1155/2021/5552532] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
493 Li HY, You ZH, Wang L, Yan X, Li ZW. DF-MDA: An effective diffusion-based computational model for predicting miRNA-disease association. Mol Ther 2021;29:1501-11. [PMID: 33429082 DOI: 10.1016/j.ymthe.2021.01.003] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
494 Azadmanesh J, Lutz WE, Coates L, Weiss KL, Borgstahl GEO. Direct detection of coupled proton and electron transfers in human manganese superoxide dismutase. Nat Commun 2021;12:2079. [PMID: 33824320 DOI: 10.1038/s41467-021-22290-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 10.0] [Reference Citation Analysis]
495 Keo A, Dzyubachyk O, van der Grond J, Hafkemeijer A, van de Berg WDJ, van Hilten JJ, Reinders MJT, Mahfouz A. Cingulate networks associated with gray matter loss in Parkinson's disease show high expression of cholinergic genes in the healthy brain. Eur J Neurosci 2021;53:3727-39. [PMID: 33792979 DOI: 10.1111/ejn.15216] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
496 Jamialahmadi O, Mancina RM, Ciociola E, Tavaglione F, Luukkonen PK, Baselli G, Malvestiti F, Thuillier D, Raverdy V, Männistö V, Pipitone RM, Pennisi G, Prati D, Spagnuolo R, Petta S, Pihlajamäki J, Pattou F, Yki-Järvinen H, Valenti L, Romeo S. Exome-Wide Association Study on Alanine Aminotransferase Identifies Sequence Variants in the GPAM and APOE Associated With Fatty Liver Disease. Gastroenterology 2021;160:1634-1646.e7. [PMID: 33347879 DOI: 10.1053/j.gastro.2020.12.023] [Cited by in Crossref: 43] [Cited by in F6Publishing: 42] [Article Influence: 43.0] [Reference Citation Analysis]
497 Swahari V, Nakamura A, Hollville E, Stroud H, Simon JM, Ptacek TS, Beck MV, Flowers C, Guo J, Plestant C, Liang J, Kurtz CL, Kanke M, Hammond SM, He YW, Anton ES, Sethupathy P, Moy SS, Greenberg ME, Deshmukh M. MicroRNA-29 is an essential regulator of brain maturation through regulation of CH methylation. Cell Rep 2021;35:108946. [PMID: 33826889 DOI: 10.1016/j.celrep.2021.108946] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
498 Jin J, Guang M, Ogbuehi AC, Li S, Zhang K, Ma Y, Acharya A, Guo B, Peng Z, Liu X, Deng Y, Fang Z, Zhu X, Hua S, Li C, Haak R, Ziebolz D, Schmalz G, Liu L, Xu B, Huang X. Shared Molecular Mechanisms between Alzheimer's Disease and Periodontitis Revealed by Transcriptomic Analysis. Biomed Res Int 2021;2021:6633563. [PMID: 33869630 DOI: 10.1155/2021/6633563] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
499 Li X, Yu J, Zhang Z, Ren J, Peluffo AE, Zhang W, Zhao Y, Wu J, Yan K, Cohen D, Wang W. Network bioinformatics analysis provides insight into drug repurposing for COVID-19. Med Drug Discov 2021;10:100090. [PMID: 33817623 DOI: 10.1016/j.medidd.2021.100090] [Cited by in Crossref: 23] [Cited by in F6Publishing: 15] [Article Influence: 23.0] [Reference Citation Analysis]
500 Zhou J, Zhang F, Chen J, Zhang S, Wang H. Chlorogenic Acid Inhibits Human Glioma U373 Cell Progression via Regulating the SRC/MAPKs Signal Pathway: Based on Network Pharmacology Analysis. Drug Des Devel Ther 2021;15:1369-83. [PMID: 33833498 DOI: 10.2147/DDDT.S296862] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
501 He L, Liu L, Li T, Zhuang D, Dai J, Wang B, Bi L. Exploring the Imbalance of Periodontitis Immune System From the Cellular to Molecular Level. Front Genet 2021;12:653209. [PMID: 33841510 DOI: 10.3389/fgene.2021.653209] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
502 Vavougios GD, Nday C, Pelidou SH, Gourgoulianis KI, Stamoulis G, Doskas T, Zarogiannis SG. Outside-in induction of the IFITM3 trafficking system by infections, including SARS-CoV-2, in the pathobiology of Alzheimer's disease. Brain Behav Immun Health 2021;14:100243. [PMID: 33817671 DOI: 10.1016/j.bbih.2021.100243] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
503 Yoon S, Baik B, Park T, Nam D. Powerful p-value combination methods to detect incomplete association. Sci Rep 2021;11:6980. [PMID: 33772054 DOI: 10.1038/s41598-021-86465-y] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 10.0] [Reference Citation Analysis]
504 Quan Y, Liang F, Deng SM, Zhu Y, Chen Y, Xiong J. Mining the Selective Remodeling of DNA Methylation in Promoter Regions to Identify Robust Gene-Level Associations With Phenotype. Front Mol Biosci 2021;8:597513. [PMID: 33842534 DOI: 10.3389/fmolb.2021.597513] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
505 Ma Y, Dong C, Chen X, Zhu R, Wang J. Silencing of miR-20b-5p Exerts Inhibitory Effect on Diabetic Retinopathy via Inactivation of THBS1 Gene Induced VEGF/Akt/PI3K Pathway. Diabetes Metab Syndr Obes 2021;14:1183-93. [PMID: 33758526 DOI: 10.2147/DMSO.S299143] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
506 Martins D, Dipasquale O, Veronese M, Turkheimer F, Loggia ML, Mcmahon S, Howard MA, Williams SC. Transcriptional and cellular signatures of cortical morphometric similarity remodelling in chronic pain.. [DOI: 10.1101/2021.03.24.436777] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
507 Fang Y, Liu X, Su J. Network Pharmacology Analysis of Traditional Chinese Medicine Formula Shuang Di Shou Zhen Tablets Treating Nonexudative Age-Related Macular Degeneration. Evid Based Complement Alternat Med 2021;2021:6657521. [PMID: 33815556 DOI: 10.1155/2021/6657521] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
508 Corrêa T, Feltes BC, Schinzel A, Riegel M. Network-based analysis using chromosomal microdeletion syndromes as a model. Am J Med Genet C Semin Med Genet 2021;187:337-48. [PMID: 33754460 DOI: 10.1002/ajmg.c.31900] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
509 Lee H, Lee I, Kang K, Park S, Jung M, Yang SG, Kwon T, Lee D. A Comprehensive Understanding of the Anticancer Mechanisms of FDY2004 Against Cervical Cancer Based on Network Pharmacology. Natural Product Communications 2021;16:1934578X2110043. [DOI: 10.1177/1934578x211004304] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
510 Shi Z, Zhang H, Jin C, Quan X, Yin Y. A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. BMC Bioinformatics 2021;22:136. [PMID: 33745450 DOI: 10.1186/s12859-021-04073-z] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 21.0] [Reference Citation Analysis]
511 Ruiz C, Zitnik M, Leskovec J. Identification of disease treatment mechanisms through the multiscale interactome. Nat Commun 2021;12:1796. [PMID: 33741907 DOI: 10.1038/s41467-021-21770-8] [Cited by in Crossref: 24] [Cited by in F6Publishing: 27] [Article Influence: 24.0] [Reference Citation Analysis]
512 Climente-González H, Lonjou C, Lesueur F, Stoppa-Lyonnet D, Andrieu N, Azencott CA; GENESIS study group. Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. PLoS Comput Biol 2021;17:e1008819. [PMID: 33735170 DOI: 10.1371/journal.pcbi.1008819] [Reference Citation Analysis]
513 Wong M, Previde P, Cole J, Thomas B, Laxmeshwar N, Mallory E, Lever J, Petkovic D, Altman RB, Kulkarni A. Search and visualization of gene-drug-disease interactions for pharmacogenomics and precision medicine research using GeneDive. J Biomed Inform 2021;117:103732. [PMID: 33737208 DOI: 10.1016/j.jbi.2021.103732] [Reference Citation Analysis]
514 Zhu Y, Dong L, Wang J, Liu Q, Tong H, Li Y, Guan S. Semen Cuscutae-Fructus Lycii improves spermatogenic dysfunction by repairing the blood-testis barrier in rats according to in silico and in vitro methods. J Ethnopharmacol 2021;274:114022. [PMID: 33741439 DOI: 10.1016/j.jep.2021.114022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
515 Chung SS, Ng JCF, Laddach A, Thomas NSB, Fraternali F. Short loop functional commonality identified in leukaemia proteome highlights crucial protein sub-networks. NAR Genom Bioinform 2021;3:lqab010. [PMID: 33709075 DOI: 10.1093/nargab/lqab010] [Reference Citation Analysis]
516 Rahmati S, Li Q, Rahman P, Chandran V. Insights into the pathogenesis of psoriatic arthritis from genetic studies. Semin Immunopathol 2021;43:221-34. [PMID: 33712923 DOI: 10.1007/s00281-021-00843-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
517 Kosnik MB, Enroth S, Karlsson O. Distinct genetic regions are associated with differential population susceptibility to chemical exposures. Environ Int 2021;152:106488. [PMID: 33714141 DOI: 10.1016/j.envint.2021.106488] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
518 Bhowmick P, Roome S, Borchers CH, Goodlett DR, Mohammed Y. An Update on MRMAssayDB: A Comprehensive Resource for Targeted Proteomics Assays in the Community. J Proteome Res 2021;20:2105-15. [PMID: 33683131 DOI: 10.1021/acs.jproteome.0c00961] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
519 Tanaka Y, Cakir B, Xiang Y, Sullivan GJ, Park IH. Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain. Cell Rep 2020;30:1682-1689.e3. [PMID: 32049002 DOI: 10.1016/j.celrep.2020.01.038] [Cited by in Crossref: 87] [Cited by in F6Publishing: 62] [Article Influence: 87.0] [Reference Citation Analysis]
520 Wang Z, Zhou M, Arnold C. Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing. Bioinformatics 2020;36:i525-33. [PMID: 32657387 DOI: 10.1093/bioinformatics/btaa437] [Cited by in Crossref: 30] [Cited by in F6Publishing: 32] [Article Influence: 30.0] [Reference Citation Analysis]
521 Alvarenga AB, Oliveira HR, Chen SY, Miller SP, Marchant-Forde JN, Grigoletto L, Brito LF. A Systematic Review of Genomic Regions and Candidate Genes Underlying Behavioral Traits in Farmed Mammals and Their Link with Human Disorders. Animals (Basel) 2021;11:715. [PMID: 33800722 DOI: 10.3390/ani11030715] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
522 Caufield JH, Sigdel D, Fu J, Choi H, Guevara-Gonzalez V, Wang D, Ping P. Cardiovascular Informatics: building a bridge to data harmony. Cardiovasc Res 2021:cvab067. [PMID: 33751044 DOI: 10.1093/cvr/cvab067] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
523 Han M, Yu H, Yang K, Liu P, Yan H, Yang Z, Yang H. A Network Pharmacology-Based Approach to Investigating the Mechanisms of Fushen Granule Effects on Intestinal Barrier Injury in Chronic Renal Failure. Evid Based Complement Alternat Med 2021;2021:2097569. [PMID: 33747100 DOI: 10.1155/2021/2097569] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
524 Warren WC, Boggs TE, Borowsky R, Carlson BM, Ferrufino E, Gross JB, Hillier L, Hu Z, Keene AC, Kenzior A, Kowalko JE, Tomlinson C, Kremitzki M, Lemieux ME, Graves-Lindsay T, McGaugh SE, Miller JT, Mommersteeg MTM, Moran RL, Peuß R, Rice ES, Riddle MR, Sifuentes-Romero I, Stanhope BA, Tabin CJ, Thakur S, Yamamoto Y, Rohner N. A chromosome-level genome of Astyanax mexicanus surface fish for comparing population-specific genetic differences contributing to trait evolution. Nat Commun 2021;12:1447. [PMID: 33664263 DOI: 10.1038/s41467-021-21733-z] [Cited by in Crossref: 24] [Cited by in F6Publishing: 26] [Article Influence: 24.0] [Reference Citation Analysis]
525 Pei J, Grishin NV. The DBSAV Database: Predicting Deleteriousness of Single Amino Acid Variations in the Human Proteome. J Mol Biol 2021;433:166915. [PMID: 33676930 DOI: 10.1016/j.jmb.2021.166915] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 12.0] [Reference Citation Analysis]
526 Ongaro-Carcy R, Scott-Boyer MP, Dessemond A, Belleau F, Leclercq M, Périn O, Droit A. KibioR & Kibio: a new architecture for next-generation data querying and sharing in big biology. Bioinformatics 2021:btab157. [PMID: 33751043 DOI: 10.1093/bioinformatics/btab157] [Reference Citation Analysis]
527 Yang J, Li H, Wang F, Xiao F, Yan W, Hu G. Network-Based Target Prioritization and Drug Candidate Identification for Multiple Sclerosis: From Analyzing "Omics Data" to Druggability Simulations. ACS Chem Neurosci 2021;12:917-29. [PMID: 33565875 DOI: 10.1021/acschemneuro.1c00011] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
528 Gupta R, Kumar P. Computational Analysis Indicates That PARP1 Acts as a Histone Deacetylases Interactor Sharing Common Lysine Residues for Acetylation, Ubiquitination, and SUMOylation in Alzheimer's and Parkinson's Disease. ACS Omega 2021;6:5739-53. [PMID: 33681613 DOI: 10.1021/acsomega.0c06168] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
529 Li J, Wang SP, Wang YQ, Shi L, Zhang ZK, Dong F, Li HR, Zhang JY, Man YQ. Comparative metabolism study on chlorogenic acid, cryptochlorogenic acid and neochlorogenic acid using UHPLC-Q-TOF MS coupled with network pharmacology. Chin J Nat Med 2021;19:212-24. [PMID: 33781455 DOI: 10.1016/S1875-5364(21)60023-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
530 Luo P, Chen B, Liao B, Wu F. Predicting disease‐associated genes: Computational methods, databases, and evaluations. WIREs Data Mining Knowl Discov 2021;11. [DOI: 10.1002/widm.1383] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
531 Michiels M, Larrañaga P, Bielza C. BayeSuites: An open web framework for massive Bayesian networks focused on neuroscience. Neurocomputing 2021;428:166-81. [DOI: 10.1016/j.neucom.2020.11.066] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
532 Chen Y, Dong J, Yang D, Qian Q, Wang P, Yang X, Li W, Li G, Shen X, Wang F. Synergistic Network Pharmacology for Traditional Chinese Medicine Liangxue Tongyu Formula in Acute Intracerebral Hemorrhagic Stroke. Neural Plast 2021;2021:8874296. [PMID: 33727915 DOI: 10.1155/2021/8874296] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
533 Lee HS, Lee IH, Kang K, Park SI, Kwon TW, Lee DY. Uncovering the Anti-Lung-Cancer Mechanisms of the Herbal Drug FDY2004 by Network Pharmacology. Evid Based Complement Alternat Med 2021;2021:6644018. [PMID: 33628308 DOI: 10.1155/2021/6644018] [Reference Citation Analysis]
534 McEwen GK, Alquezar-Planas DE, Dayaram A, Gillett A, Tarlinton R, Mongan N, Chappell KJ, Henning J, Tan M, Timms P, Young PR, Roca AL, Greenwood AD. Retroviral integrations contribute to elevated host cancer rates during germline invasion. Nat Commun 2021;12:1316. [PMID: 33637755 DOI: 10.1038/s41467-021-21612-7] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 9.0] [Reference Citation Analysis]
535 Gholizadeh E, Karbalaei R, Khaleghian A, Salimi M, Gilany K, Soliymani R, Tanoli Z, Rezadoost H, Baumann M, Jafari M, Tang J. Identification of Celecoxib-Targeted Proteins Using Label-Free Thermal Proteome Profiling on Rat Hippocampus. Mol Pharmacol 2021;99:308-18. [PMID: 33632781 DOI: 10.1124/molpharm.120.000210] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
536 Zhang B, Tang C, Yao Y, Chen X, Zhou C, Wei Z, Xing F, Chen L, Cai X, Zhang Z, Sun S, Liu Q. The tumor therapy landscape of synthetic lethality. Nat Commun 2021;12:1275. [PMID: 33627666 DOI: 10.1038/s41467-021-21544-2] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 15.0] [Reference Citation Analysis]
537 Cai T, Wang X, Li B, Xiong F, Wu H, Yang X. Deciphering the synergistic network regulation of active components from SiNiSan against irritable bowel syndrome via a comprehensive strategy: Combined effects of synephrine, paeoniflorin and naringin. Phytomedicine 2021;86:153527. [PMID: 33845366 DOI: 10.1016/j.phymed.2021.153527] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
538 Aly KA, Moutaoufik MT, Phanse S, Zhang Q, Babu M. From fuzziness to precision medicine: on the rapidly evolving proteomics with implications in mitochondrial connectivity to rare human disease. iScience 2021;24:102030. [PMID: 33521598 DOI: 10.1016/j.isci.2020.102030] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
539 Wu G, Lee YY, Gulla EM, Potter A, Kitzmiller J, Ruben MD, Salomonis N, Whitsett JA, Francey LJ, Hogenesch JB, Smith DF. Short-term exposure to intermittent hypoxia leads to changes in gene expression seen in chronic pulmonary disease. Elife 2021;10:e63003. [PMID: 33599610 DOI: 10.7554/eLife.63003] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
540 Luo Z, Dong X, Yu J, Xia Y, Berry KP, Rao R, Xu L, Xue P, Chen T, Lin Y, Yu J, Huang G, Li H, Zhou W, Lu QR. Genomic and Transcriptomic Analyses Reveals ZNF124 as a Critical Regulator in Highly Aggressive Medulloblastomas. Front Cell Dev Biol 2021;9:634056. [PMID: 33681213 DOI: 10.3389/fcell.2021.634056] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
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