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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...
שמור ב:
| הוצא לאור ב: | Heliyon |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Elsevier
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7409807/ https://ncbi.nlm.nih.gov/pubmed/32802980 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2020.e04639 |
| תגים: |
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