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For: Vatansever S, Schlessinger A, Wacker D, Kaniskan HÜ, Jin J, Zhou MM, Zhang B. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions. Med Res Rev 2021;41:1427-73. [PMID: 33295676 DOI: 10.1002/med.21764] [Cited by in Crossref: 32] [Cited by in F6Publishing: 37] [Article Influence: 16.0] [Reference Citation Analysis]
Number Citing Articles
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5 Alsanousi WA, Ahmed NY, Hamid EM, Elbashir MK, Musa MEM, Wang J, Khan N, Afnan. A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification. PLoS One 2022;17:e0275195. [PMID: 36201724 DOI: 10.1371/journal.pone.0275195] [Reference Citation Analysis]
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7 Wang B, Wan Z, Li C, Zhang M, Shi Y, Miao X, Jian Y, Luo Y, Yao J, Tian W. Identification of benign and malignant thyroid nodules based on dynamic AI ultrasound intelligent auxiliary diagnosis system. Front Endocrinol 2022;13:1018321. [DOI: 10.3389/fendo.2022.1018321] [Reference Citation Analysis]
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9 Chen S, Zhang L, Chen Y, Fu L. Inhibiting Sodium Taurocholate Cotransporting Polypeptide in HBV-Related Diseases: From Biological Function to Therapeutic Potential. J Med Chem . [DOI: 10.1021/acs.jmedchem.2c01097] [Reference Citation Analysis]
10 Sahayasheela VJ, Lankadasari MB, Dan VM, Dastager SG, Pandian GN, Sugiyama H. Artificial intelligence in microbial natural product drug discovery: current and emerging role. Nat Prod Rep 2022. [PMID: 36017693 DOI: 10.1039/d2np00035k] [Reference Citation Analysis]
11 Wang H, Ji X, Zhang D, Bin S. Decision Tree Algorithm for Visual Art Design in a Psychotherapy System for College Students. Occupational Therapy International 2022;2022:1-10. [DOI: 10.1155/2022/1255200] [Reference Citation Analysis]
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13 Kandi V, Vundecode A, Godalwar TR, Dasari S, Vadakedath S, Godishala V. The Current Perspectives in Clinical Research: Computer-Assisted Drug Designing, Ethics, and Good Clinical Practice. Borneo J Pharm 2022;5:161-178. [DOI: 10.33084/bjop.v5i2.3013] [Reference Citation Analysis]
14 Wong DR, Conrad J, Johnson NR, Ayers J, Laeremans A, Lee JC, Lee J, Prusiner SB, Bandyopadhyay S, Butte AJ, Paras NA, Keiser MJ. Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics. Nat Mach Intell. [DOI: 10.1038/s42256-022-00490-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
15 Wang J, Zhang D, Liang L. A Classification Model with Cognitive Reasoning Ability. Symmetry 2022;14:1034. [DOI: 10.3390/sym14051034] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Borkotoky S, Joshi A, Kaushik V, Nath Jha A. Machine Learning and Artificial Intelligence in Therapeutics and Drug Development Life Cycle. Drug Development Life Cycle [Working Title] 2022. [DOI: 10.5772/intechopen.104753] [Reference Citation Analysis]
17 Moshawih S, Goh HP, Kifli N, Idris AC, Yassin H, Kotra V, Goh KW, Liew KB, Ming LC. Synergy between machine learning and natural products cheminformatics: Application to the lead discovery of anthraquinone derivatives. Chem Biol Drug Des 2022. [PMID: 35490393 DOI: 10.1111/cbdd.14062] [Reference Citation Analysis]
18 Martinelli DD. Generative machine learning for de novo drug discovery: A systematic review. Comput Biol Med 2022;145:105403. [PMID: 35339849 DOI: 10.1016/j.compbiomed.2022.105403] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
19 Shaker MR, Kahtan A, Prasad R, Lee JH, Pietrogrande G, Leeson HC, Sun W, Wolvetang EJ, Slonchak A. Neural Epidermal Growth Factor-Like Like Protein 2 Is Expressed in Human Oligodendroglial Cell Types. Front Cell Dev Biol 2022;10:803061. [PMID: 35265611 DOI: 10.3389/fcell.2022.803061] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Xi Y, Chen Y, Jin Y, Han G, Song M, Song T, Shi Y, Tao L, Huang Z, Zhou J, Ding Y, Zhang H. Versatile nanomaterials for Alzheimer's disease: Pathogenesis inspired disease-modifying therapy. Journal of Controlled Release 2022. [DOI: 10.1016/j.jconrel.2022.02.034] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
21 Xue W, Fu T, Deng S, Yang F, Yang J, Zhu F. Molecular Mechanism for the Allosteric Inhibition of the Human Serotonin Transporter by Antidepressant Escitalopram. ACS Chem Neurosci 2022;13:340-51. [PMID: 35041375 DOI: 10.1021/acschemneuro.1c00694] [Cited by in Crossref: 33] [Cited by in F6Publishing: 35] [Article Influence: 33.0] [Reference Citation Analysis]
22 Salmina AB, Malinovskaya NA, Morgun AV, Khilazheva ED, Uspenskaya YA, Illarioshkin SN. Reproducibility of developmental neuroplasticity in in vitro brain tissue models. Rev Neurosci 2022. [PMID: 34983132 DOI: 10.1515/revneuro-2021-0137] [Reference Citation Analysis]
23 Sinha M, G. P, Sachan DK, Parthasarathi R. Artificial Intelligence in Clinical Toxicology. Artificial Intelligence in Medicine 2022. [DOI: 10.1007/978-3-030-64573-1_137] [Reference Citation Analysis]
24 Anupama KP, Antony A, Shilpa O, Gurushankara HP. In Silico Techniques: Powerful Tool for the Development of Therapeutics. Functional Foods and Therapeutic Strategies for Neurodegenerative Disorders 2022. [DOI: 10.1007/978-981-16-6703-9_11] [Reference Citation Analysis]
25 Farghali H, Kutinová Canová N, Arora M. The potential applications of artificial intelligence in drug discovery and development. Physiol Res 2021. [DOI: 10.33549//physiolres.934765] [Reference Citation Analysis]
26 Imami AS, McCullumsmith RE, O'Donovan SM. Strategies to identify candidate repurposable drugs: COVID-19 treatment as a case example. Transl Psychiatry 2021;11:591. [PMID: 34785660 DOI: 10.1038/s41398-021-01724-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
27 Li G, Lin P, Wang K, Gu CC, Kusari S. Artificial intelligence-guided discovery of anticancer lead compounds from plants and associated microorganisms. Trends Cancer 2022;8:65-80. [PMID: 34750090 DOI: 10.1016/j.trecan.2021.10.002] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
28 Selvaraj C, Chandra I, Singh SK. Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries. Mol Divers 2021. [PMID: 34686947 DOI: 10.1007/s11030-021-10326-z] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
29 Unni AP, Sreekumar A, Balakrishnan K. Disease Based Computational Drug Repurposing: A Review. 2021 5th International Conference on Information Systems and Computer Networks (ISCON) 2021. [DOI: 10.1109/iscon52037.2021.9702436] [Reference Citation Analysis]
30 Mak KK, Balijepalli MK, Pichika MR. Success stories of AI in drug discovery - where do things stand? Expert Opin Drug Discov 2021;:1-14. [PMID: 34553659 DOI: 10.1080/17460441.2022.1985108] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
31 Rema J, Novais F, Telles-Correia D. Precision Psychiatry: Machine learning as a tool to find new pharmacological targets. Curr Top Med Chem 2021. [PMID: 34607546 DOI: 10.2174/1568026621666211004095917] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 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]
33 Tripathi MK, Nath A, Singh TP, Ethayathulla AS, Kaur P. Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery. Mol Divers 2021;25:1439-60. [PMID: 34159484 DOI: 10.1007/s11030-021-10256-w] [Cited by in Crossref: 6] [Cited by in F6Publishing: 12] [Article Influence: 6.0] [Reference Citation Analysis]
34 Koszła O, Stępnicki P, Zięba A, Grudzińska A, Matosiuk D, Kaczor AA. Current Approaches and Tools Used in Drug Development against Parkinson's Disease. Biomolecules 2021;11:897. [PMID: 34208760 DOI: 10.3390/biom11060897] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
35 Sinha M, G P, Sachan DK, Parthasarathi R. Artificial Intelligence in Clinical Toxicology. Artificial Intelligence in Medicine 2021. [DOI: 10.1007/978-3-030-58080-3_137-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
36 Vatansever S, Schlessinger A, Wacker D, Kaniskan HÜ, Jin J, Zhou MM, Zhang B. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions. Med Res Rev 2021;41:1427-73. [PMID: 33295676 DOI: 10.1002/med.21764] [Cited by in Crossref: 32] [Cited by in F6Publishing: 37] [Article Influence: 16.0] [Reference Citation Analysis]