MEDICASCY: A Machine Learning Approach for Predicting Small-Molecule Drug Side Effects, Indications, Efficacy, and Modes of Action.

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第一作者： Hongyi,Zhou

第一单位： Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive, N.W., Atlanta, Georgia 30332, United States.

作者： Hongyi,Zhou ^[1] ; Hongnan,Cao ^[1] ; Lilya,Matyunina ^[2] ; Madelyn,Shelby ^[2] ; Lauren,Cassels ^[2] ; John F,McDonald ^[2] ; Jeffrey,Skolnick ^[1]

作者单位： Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive, N.W., Atlanta, Georgia 30332, United States. ^[1] School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332-0230, United States. ^[2]

关键词 drug clinical trials drug efficacy prediction drug side effect prediction indication machine learning mode of action protein

主题词规范(Benchmarking);细胞系, 肿瘤(Cell Line, Tumor);药物发现(Drug Discovery);人类(Humans);回顾性研究(Retrospective Studies)

DOI 10.1021/acs.molpharmaceut.9b01248

PMID 32237745

发布时间 2023-11-11

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