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针对新型冠状病毒2型主要蛋白酶的选定抑制剂的结构动力学和结合相互作用的分子见解

Molecular Insights into Structural Dynamics and Binding Interactions of Selected Inhibitors Targeting SARS-CoV-2 Main Protease.

作者信息

Wang Yuanyuan, Zhou Yulin, Khan Faez Iqbal

机构信息

Department of Biosciences and Bioinformatics, School of Science, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou 215123, China.

出版信息

Int J Mol Sci. 2024 Dec 16;25(24):13482. doi: 10.3390/ijms252413482.

Abstract

The SARS-CoV-2 main protease (Mpro, also known as 3CLpro) is a key target for antiviral therapy due to its critical role in viral replication and maturation. This study investigated the inhibitory effects of Bofutrelvir, Nirmatrelvir, and Selinexor on 3CLpro through molecular docking, molecular dynamics (MD) simulations, and free energy calculations. Nirmatrelvir exhibited the strongest binding affinity across docking tools (AutoDock Vina: -8.3 kcal/mol; DiffDock: -7.75 kcal/mol; DynamicBound: 7.59 to 7.89 kcal/mol), outperforming Selinexor and Bofutrelvir. Triplicate 300 ns MD simulations revealed that the Nirmatrelvir-3CLpro complex displayed high conformational stability, reduced root mean square deviation (RMSD), and a modest decrease in solvent-accessible surface area (SASA), indicating enhanced structural rigidity. Gibbs free energy analysis highlighted greater flexibility in unbound 3CLpro, stabilized by Nirmatrelvir binding, supported by stable hydrogen bonds. MolProphet prediction tools, targeting the Cys145 residue, confirmed that Nirmatrelvir exhibited the strongest binding, forming multiple hydrophobic, hydrogen, and π-stacking interactions with key residues, and had the lowest predicted IC/EC (9.18 × 10 mol/L), indicating its superior potency. Bofutrelvir and Selinexor showed weaker interactions and higher IC/EC values. MM/PBSA analysis calculated a binding free energy of -100.664 ± 0.691 kJ/mol for the Nirmatrelvir-3CLpro complex, further supporting its stability and binding potency. These results underscore Nirmatrelvir's potential as a promising therapeutic agent for SARS-CoV-2 and provide novel insights into dynamic stabilizing interactions through AI-based docking and long-term MD simulations.

摘要

严重急性呼吸综合征冠状病毒2型主要蛋白酶(Mpro,也称为3CLpro)因其在病毒复制和成熟过程中的关键作用,成为抗病毒治疗的关键靶点。本研究通过分子对接、分子动力学(MD)模拟和自由能计算,研究了波普瑞韦、奈玛特韦和塞利尼索对3CLpro的抑制作用。在各种对接工具中,奈玛特韦表现出最强的结合亲和力(AutoDock Vina:-8.3千卡/摩尔;DiffDock:-7.75千卡/摩尔;DynamicBound:7.59至7.89千卡/摩尔),优于塞利尼索和波普瑞韦。三次重复的300纳秒MD模拟显示,奈玛特韦-3CLpro复合物表现出高构象稳定性、降低的均方根偏差(RMSD)以及溶剂可及表面积(SASA)的适度减小,表明结构刚性增强。吉布斯自由能分析强调未结合的3CLpro具有更大的灵活性,奈玛特韦结合使其稳定,稳定的氢键也支持这一点。针对半胱氨酸145残基的MolProphet预测工具证实,奈玛特韦表现出最强的结合力,与关键残基形成多个疏水、氢键和π-堆积相互作用,并且预测的IC/EC最低(9.18×10摩尔/升),表明其效力更强。波普瑞韦和塞利尼索显示出较弱的相互作用和更高的IC/EC值。MM/PBSA分析计算出奈玛特韦-3CLpro复合物的结合自由能为-100.664±0.691千焦/摩尔,进一步支持其稳定性和结合效力。这些结果强调了奈玛特韦作为一种有前景的抗SARS-CoV-2治疗药物的潜力,并通过基于人工智能的对接和长期MD模拟为动态稳定相互作用提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2957/11677904/f8aeb8db2b15/ijms-25-13482-g001.jpg

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