Target-driven machine learning-enabled virtual screening (TAME-VS) platform for early-stage hit identification.

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作者： Yuemin,Bian ^[1] ; Jason J,Kwon ^[2] ; Cong,Liu ^[1] ; Enrico,Margiotta ^[1] ; Mrinal,Shekhar ^[1] ; Alexandra E,Gould ^[1]

作者单位： Center for the Development of Therapeutics, Broad Institute of MIT and Harvard, Cambridge, MA, United States. ^[1] Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States.;Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.;Harvard Medical School, Boston, MA, United States. ^[2]

关键词 AIDD drug discovery hit identification machine learning virtual screening

DOI 10.3389/fmolb.2023.1163536

PMID 36994428

发布时间 2024-09-15

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Frontiers in molecular biosciences

2023年10卷

1163536页

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Target-driven machine learning-enabled virtual screening (TAME-VS) platform for early-stage hit identification.

Frontiers in molecular biosciences

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Frontiers in molecular biosciences

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Target-driven machine learning-enabled virtual screening (TAME-VS) platform for early-stage hit identification.

Frontiers in molecular biosciences

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Frontiers in molecular biosciences

相关期刊

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