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Machine learning combines atomistic simulations to predict SARS-CoV-2 Mpro inhibitors from natural compounds
To date, the COVID-19 pandemic has still been infectious around the world, continuously causing social and economic damage on a global scale. One of the most important therapeutic targets for the treatment of COVID-19 is the main protease (Mpro) of SARS-CoV-2. In this study, we combined machine-lear...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950021/ https://www.ncbi.nlm.nih.gov/pubmed/36823394 http://dx.doi.org/10.1007/s11030-023-10601-1 |