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A computational approach for designing novel SARS-CoV-2 M<sup>pro</sup> inhibitors: combined QSAR, molecular docking, and molecular dynamics simulation techniques

Jianbo Tong, Ding Luo, Hai‐Yin Xu, Shuai Bian, Xi Zhang, Xuechun Xiao, Jie Wang

2021New Journal of Chemistry34 citationsDOI

Abstract

The promising compound T<sub>21</sub> for treating COVID-19 at the active site of SARS-CoV-2 M<sup>pro</sup>.

Topics & Concepts

ChemistryQuantitative structure–activity relationshipMolecular dynamicsDocking (animal)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)StereochemistryComputational chemistryNursingDiseasePathologyInfectious disease (medical specialty)MedicineComputational Drug Discovery MethodsSynthesis and biological activityBioactive Compounds and Antitumor Agents
A computational approach for designing novel SARS-CoV-2 M<sup>pro</sup> inhibitors: combined QSAR, molecular docking, and molecular dynamics simulation techniques | Litcius