Support Vector Machine as a Supervised Learning for the Prioritization of Novel Potential SARS-CoV-2 Main Protease Inhibitors

Support Vector Machine as a Supervised Learning for the Prioritization of Novel Potential SARS-CoV-2 Main Protease Inhibitors

In the last year, the COVID-19 pandemic has highly affected the lifestyle of the world population, encouraging the scientific community towards a great effort on studying the infection molecular mechanisms. Several vaccine formulations are nowadays available and helping to reach immunity. Neverthele...

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Bibliographic Details
Main Authors: Nedra Mekni, Claudia Coronnello, Thierry Langer, Maria De Rosa, Ugo Perricone
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:International Journal of Molecular Sciences
Subjects:
machine learning
classification
main protease
COVID-19
molecular docking
Online Access:https://www.mdpi.com/1422-0067/22/14/7714

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https://www.mdpi.com/1422-0067/22/14/7714

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