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Predicting novel drugs for SARS-CoV-2 using machine learning from a >10 million chemical space
There is an urgent need for the identification of effective therapeutics for COVID-19 and we have developed a machine learning drug discovery pipeline to identify several drug candidates. First, we collect assay data for 65 target human proteins known to interact with the SARS-CoV-2 proteins, includ...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409807/ https://www.ncbi.nlm.nih.gov/pubmed/32802980 http://dx.doi.org/10.1016/j.heliyon.2020.e04639 |