Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology.

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第一作者： Tian,Cai

第一单位： Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, 10016, USA.

作者： Tian,Cai ^[1] ; Li,Xie ^[2] ; Muge,Chen ^[3] ; Yang,Liu ^[2] ; Di,He ^[1] ; Shuo,Zhang ^[1] ; Cameron,Mura ^[4] ; Philip E,Bourne ^[4] ; Lei,Xie ^[1]

作者单位： Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, 10016, USA. ^[1] Department of Computer Science, Hunter College, The City University of New York, New York, 10065, USA. ^[2] Master Program in Computer Science, Courant Institute of Mathematical Sciences, New York University. ^[3] School of Data Science & Department of Biomedical Engineering, University of Virginia, Virginia, 22903, USA. ^[4] Helen and Robert Appel Alzheimer's Disease Research Institute, Feil Family Brain & Mind Research Institute, Weill Cornell Medicine, Cornell University, New York, 10021, USA. ^[5]

关键词 COVID-19 SARS-CoV-2 biomedicine machine learning portal learning

DOI 10.21203/rs.3.rs-1109318/v1

PMID 34873596

发布时间 2024-04-04

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Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology.

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Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology.

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