Decoding SARS-CoV-2 Inhibition: Insights From Molecular Dynamics Simulation of Condensed Amino Thiourea Scaffold Small Molecules

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of cellular biochemistry Pub Date : 2025-02-23 DOI:10.1002/jcb.70005
Xiaoli Shen, Hao Zhang, Pengyin Zhang, Xuerui Zhao, Chang Liu, Jianan Ju, Aijun Liu, Song Wang
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Abstract

The main protease (Mpro) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) plays a crucial role in viral replication. In this study, the binding modes and inhibitory mechanisms of eight condensed amino thiourea scaffold inhibitors of Mpro in proteins were investigated using a combination of molecular docking, molecular dynamics simulations, and MM/PBSA binding free energy calculations. The results indicated that the para-hydroxyl group on the benzene ring at the head of the inhibitor has a decisive influence on the initial docking pose and binding free energy strength of the inhibitor. Additionally, the position and length of the hydrophobic side chain on the tail six-membered ring significantly impacted the final binding pose of the inhibitor. The presence of a long hydrophobic side chain in the ortho position of this ring, through its interaction with the P4 hydrophobic pocket, led to an opposite binding mode in the protein compared with when it was present with or without the para-side chain. Different lengths of para-substituted side chains affected the positioning of the inhibitors in the enzyme. These different binding modes led to variations in the binding free energy between the inhibitor and the protein, which in turn gave rise to differences in inhibitory capability.

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来源期刊
Journal of cellular biochemistry
Journal of cellular biochemistry 生物-生化与分子生物学
CiteScore
9.90
自引率
0.00%
发文量
164
审稿时长
1 months
期刊介绍: The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.
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