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Elucidation of Binding Features and Dissociation Pathways of Inhibitors and Modulators in SARS-CoV-2 Main Protease by Multiple Molecular Dynamics Simulations.
Xu, Lei; Xie, Liangxu; Zhang, Dawei; Xu, Xiaojun.
  • Xu L; Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Xie L; Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Zhang D; Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Xu X; Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Molecules ; 27(20)2022 Oct 12.
Article in English | MEDLINE | ID: covidwho-2071650
ABSTRACT
COVID-19 can cause different neurological symptoms in some people, including smell, inability to taste, dizziness, confusion, delirium, seizures, stroke, etc. Owing to the issue of vaccine effectiveness, update and coverage, we still need one or more diversified strategies as the backstop to manage illness. Characterizing the structural basis of ligand recognition in the main protease (Mpro) of SARS-CoV-2 will facilitate its rational design and development of potential drug candidates with high affinity and selectivity against COVID-19. Up to date, covalent-, non-covalent inhibitors and allosteric modulators have been reported to bind to different active sites of Mpro. In the present work, we applied the molecular dynamics (MD) simulations to systematically characterize the potential binding features of catalytic active site and allosteric binding sites in Mpro using a dataset of 163 3D structures of Mpro-inhibitor complexes, in which our results are consistent with the current studies. In addition, umbrella sampling (US) simulations were used to explore the dissociation processes of substrate pathway and allosteric pathway. All the information provided new insights into the protein features of Mpro and will facilitate its rational drug design for COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Molecular Dynamics Simulation / COVID-19 Drug Treatment Topics: Vaccines Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27206823

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Molecular Dynamics Simulation / COVID-19 Drug Treatment Topics: Vaccines Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27206823