BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Chen H, Zhang H, Zhang Z, Cao Y, Tang W. Network-based inference methods for drug repositioning. Comput Math Methods Med 2015;2015:130620. [PMID: 25969690 DOI: 10.1155/2015/130620] [Cited by in Crossref: 37] [Cited by in F6Publishing: 31] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Wang L, Tan Y, Yang X, Kuang L, Ping P. Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models. Brief Bioinform 2022:bbac080. [PMID: 35325024 DOI: 10.1093/bib/bbac080] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Ayyar P, Subramanian U. Repurposing – second life for drugs. PHAR 2022;69:51-9. [DOI: 10.3897/pharmacia.69.e72548] [Reference Citation Analysis]
3 Prieto Santamaría L, Ugarte Carro E, Díaz Uzquiano M, Menasalvas Ruiz E, Pérez Gallardo Y, Rodríguez-González A. A data-driven methodology towards evaluating the potential of drug repurposing hypotheses. Comput Struct Biotechnol J 2021;19:4559-73. [PMID: 34471499 DOI: 10.1016/j.csbj.2021.08.003] [Reference Citation Analysis]
4 Yan C, Feng L, Wang W, Wang J, Zhang G, Luo J. A Novel Drug Repositioning Approach Based on Integrative Multiple Similarity Measures. Curr Mol Med 2020;20:442-51. [PMID: 31729291 DOI: 10.2174/1566524019666191115103307] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 He B, Hou F, Ren C, Bing P, Xiao X. A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds. Front Oncol 2021;11:711225. [PMID: 34367996 DOI: 10.3389/fonc.2021.711225] [Reference Citation Analysis]
6 Dotolo S, Marabotti A, Facchiano A, Tagliaferri R. A review on drug repurposing applicable to COVID-19. Brief Bioinform 2021;22:726-41. [PMID: 33147623 DOI: 10.1093/bib/bbaa288] [Cited by in Crossref: 19] [Cited by in F6Publishing: 23] [Article Influence: 19.0] [Reference Citation Analysis]
7 Galan-Vasquez E, Perez-Rueda E. A landscape for drug-target interactions based on network analysis. PLoS One 2021;16:e0247018. [PMID: 33730052 DOI: 10.1371/journal.pone.0247018] [Reference Citation Analysis]
8 Shi W, Chen X, Deng L. A Review of Recent Developments and Progress in Computational Drug Repositioning. Curr Pharm Des 2020;26:3059-68. [PMID: 31951162 DOI: 10.2174/1381612826666200116145559] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
9 Yang J, Zhang D, Liu L, Li G, Cai Y, Zhang Y, Jin H, Chen X. Computational drug repositioning based on the relationships between substructure-indication. Brief Bioinform 2021;22:bbaa348. [PMID: 33313675 DOI: 10.1093/bib/bbaa348] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Chen H, Cheng F, Li J. iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding. PLoS Comput Biol 2020;16:e1008040. [PMID: 32667925 DOI: 10.1371/journal.pcbi.1008040] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
11 Saberian N, Peyvandipour A, Donato M, Ansari S, Draghici S. A new computational drug repurposing method using established disease-drug pair knowledge. Bioinformatics 2019;35:3672-8. [PMID: 30840053 DOI: 10.1093/bioinformatics/btz156] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
12 Arakelyan A, Nersisyan L, Nikoghosyan M, Hakobyan S, Simonyan A, Hopp L, Loeffler-Wirth H, Binder H. Transcriptome-Guided Drug Repositioning. Pharmaceutics 2019;11:E677. [PMID: 31842375 DOI: 10.3390/pharmaceutics11120677] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 2.7] [Reference Citation Analysis]
13 Xuan P, Cui H, Shen T, Sheng N, Zhang T. HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou's Five-Step Rule. Front Pharmacol 2019;10:1301. [PMID: 31780934 DOI: 10.3389/fphar.2019.01301] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.3] [Reference Citation Analysis]
14 Karaman B, Sippl W. Computational Drug Repurposing: Current Trends. CMC 2019;26:5389-409. [DOI: 10.2174/0929867325666180530100332] [Cited by in Crossref: 27] [Cited by in F6Publishing: 21] [Article Influence: 9.0] [Reference Citation Analysis]
15 Aggarwal S, Verma SS, Aggarwal S, Gupta SC. Drug repurposing for breast cancer therapy: Old weapon for new battle. Semin Cancer Biol 2021;68:8-20. [PMID: 31550502 DOI: 10.1016/j.semcancer.2019.09.012] [Cited by in Crossref: 15] [Cited by in F6Publishing: 13] [Article Influence: 5.0] [Reference Citation Analysis]
16 Jiang HJ, Huang YA, You ZH. Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder. Biomed Res Int 2019;2019:2426958. [PMID: 31534955 DOI: 10.1155/2019/2426958] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 3.3] [Reference Citation Analysis]
17 Lotfi Shahreza M, Ghadiri N, Mousavi SR, Varshosaz J, Green JR. A review of network-based approaches to drug repositioning. Brief Bioinform. 2018;19:878-892. [PMID: 28334136 DOI: 10.1093/bib/bbx017] [Cited by in Crossref: 91] [Cited by in F6Publishing: 71] [Article Influence: 30.3] [Reference Citation Analysis]
18 Almasi SM, Hu T. Measuring the importance of vertices in the weighted human disease network. PLoS One 2019;14:e0205936. [PMID: 30901770 DOI: 10.1371/journal.pone.0205936] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
19 Tian Z, Teng Z, Cheng S, Guo M. Computational drug repositioning using meta-path-based semantic network analysis. BMC Syst Biol 2018;12:134. [PMID: 30598084 DOI: 10.1186/s12918-018-0658-7] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
20 Wu G, Liu J, Min W, Tiwari S, Trivedi M, Kohle ML. Prediction of drug-disease treatment relations based on positive and unlabeled samples. IFS 2018;35:1363-73. [DOI: 10.3233/jifs-169679] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.8] [Reference Citation Analysis]
21 Deepika S, Geetha T. A meta-learning framework using representation learning to predict drug-drug interaction. Journal of Biomedical Informatics 2018;84:136-47. [DOI: 10.1016/j.jbi.2018.06.015] [Cited by in Crossref: 12] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
22 Liu W, Tu W, Li L, Liu Y, Wang S, Li L, Tao H, He H. Revisiting Connectivity Map from a gene co-expression network analysis. Exp Ther Med 2018;16:493-500. [PMID: 30112021 DOI: 10.3892/etm.2018.6275] [Cited by in Crossref: 1] [Cited by in F6Publishing: 7] [Article Influence: 0.3] [Reference Citation Analysis]
23 Yella JK, Yaddanapudi S, Wang Y, Jegga AG. Changing Trends in Computational Drug Repositioning. Pharmaceuticals (Basel). 2018;11. [PMID: 29874824 DOI: 10.3390/ph11020057] [Cited by in Crossref: 74] [Cited by in F6Publishing: 43] [Article Influence: 18.5] [Reference Citation Analysis]
24 Wu G, Liu J, Wang C. Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration. BMC Med Genomics 2017;10:79. [PMID: 29297383 DOI: 10.1186/s12920-017-0311-0] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.2] [Reference Citation Analysis]
25 Chen H, Zhang Z, Peng W. miRDDCR: a miRNA-based method to comprehensively infer drug-disease causal relationships. Sci Rep 2017;7:15921. [PMID: 29162848 DOI: 10.1038/s41598-017-15716-8] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
26 Rampogu S, Son M, Park C, Kim HH, Suh JK, Lee KW. Sulfonanilide Derivatives in Identifying Novel Aromatase Inhibitors by Applying Docking, Virtual Screening, and MD Simulations Studies. Biomed Res Int 2017;2017:2105610. [PMID: 29312992 DOI: 10.1155/2017/2105610] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 2.8] [Reference Citation Analysis]
27 Lotfi Shahreza M, Ghadiri N, Mousavi SR, Varshosaz J, Green JR. Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioning. Journal of Biomedical Informatics 2017;68:167-83. [DOI: 10.1016/j.jbi.2017.03.006] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 2.8] [Reference Citation Analysis]
28 Jadamba E, Shin M. A Systematic Framework for Drug Repositioning from Integrated Omics and Drug Phenotype Profiles Using Pathway-Drug Network. Biomed Res Int 2016;2016:7147039. [PMID: 28127549 DOI: 10.1155/2016/7147039] [Cited by in Crossref: 24] [Cited by in F6Publishing: 15] [Article Influence: 4.0] [Reference Citation Analysis]
29 Liu H, Guo M, Xue T, Guan J, Luo L, Zhuang Z. Screening lifespan-extending drugs in Caenorhabditis elegans via label propagation on drug-protein networks. BMC Syst Biol 2016;10:131. [PMID: 28155715 DOI: 10.1186/s12918-016-0362-4] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
30 Liu H, Song Y, Guan J, Luo L, Zhuang Z. Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks. BMC Bioinformatics 2016;17:539. [PMID: 28155639 DOI: 10.1186/s12859-016-1336-7] [Cited by in Crossref: 39] [Cited by in F6Publishing: 34] [Article Influence: 6.5] [Reference Citation Analysis]
31 Vanhaelen Q, Mamoshina P, Aliper AM, Artemov A, Lezhnina K, Ozerov I, Labat I, Zhavoronkov A. Design of efficient computational workflows for in silico drug repurposing. Drug Discov Today 2017;22:210-22. [PMID: 27693712 DOI: 10.1016/j.drudis.2016.09.019] [Cited by in Crossref: 81] [Cited by in F6Publishing: 63] [Article Influence: 13.5] [Reference Citation Analysis]
32 Vitali F, Cohen LD, Demartini A, Amato A, Eterno V, Zambelli A, Bellazzi R. A Network-Based Data Integration Approach to Support Drug Repurposing and Multi-Target Therapies in Triple Negative Breast Cancer. PLoS One 2016;11:e0162407. [PMID: 27632168 DOI: 10.1371/journal.pone.0162407] [Cited by in Crossref: 35] [Cited by in F6Publishing: 25] [Article Influence: 5.8] [Reference Citation Analysis]
33 Luo H, Wang J, Li M, Luo J, Peng X, Wu FX, Pan Y. Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm. Bioinformatics 2016;32:2664-71. [PMID: 27153662 DOI: 10.1093/bioinformatics/btw228] [Cited by in Crossref: 149] [Cited by in F6Publishing: 103] [Article Influence: 24.8] [Reference Citation Analysis]
34 Huang CH, Chang PM, Hsu CW, Huang CY, Ng KL. Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory. BMC Bioinformatics 2016;17 Suppl 1:2. [PMID: 26817825 DOI: 10.1186/s12859-015-0845-0] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 1.5] [Reference Citation Analysis]