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Quantitative Structure–Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections
[Image: see text] In response to the ongoing COVID-19 pandemic, there is a worldwide effort being made to identify potential anti-SARS-CoV-2 therapeutics. Here, we contribute to these efforts by building machine-learning predictive models to identify novel drug candidates for the viral targets 3 chy...
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| 出版年: | ACS Omega |
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| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Chemical Society
2020
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| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7571315/ https://ncbi.nlm.nih.gov/pubmed/33134697 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.0c03682 |
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