Computational Prediction of Potential Inhibitors of the Main Protease of SARS-CoV-2

Computational Prediction of Potential Inhibitors of the Main Protease of SARS-CoV-2

The rapidly developing pandemic, known as coronavirus disease 2019 (COVID-19) and caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has recently spread across 213 countries and territories. This pandemic is a dire public health threat—particularly for those suffering from h...

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Bibliographic Details
Main Authors: Renata Abel, María Paredes Ramos, Qiaofeng Chen, Horacio Pérez-Sánchez, Flaminia Coluzzi, Monica Rocco, Paolo Marchetti, Cameron Mura, Maurizio Simmaco, Philip E. Bourne, Robert Preissner, Priyanka Banerjee
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Chemistry
Subjects:
virtual screening (VS)
drug repurposing and molecular docking
SARS-CoV-2
COVID-19
computational drug discovery
molecular dynamics
Online Access:https://www.frontiersin.org/articles/10.3389/fchem.2020.590263/full

Internet

https://www.frontiersin.org/articles/10.3389/fchem.2020.590263/full

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