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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Trung Hai, Thai, Quynh Mai, Pham, Minh Quan, Minh, Pham Thi Hong, Phung, Huong Thi Thu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
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

Internet

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

Ejemplares similares