Exploring the Efficacy of Noncovalent SARS-CoV-2 Main Protease Inhibitors: A Computational Simulation Analysis Study

被引:2
|
作者
Xiong, Fei [1 ]
Zhang, Yan-Jun [1 ]
Jiang, Hui-Ying [1 ]
Wang, Zhong-Hua [2 ]
机构
[1] Univ Shanghai Sci & Technol, Dept Chem, Shanghai, Peoples R China
[2] Shanghai Inst Technol, Sch Chem & Environm Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
SARS-CoV-2; Main protease inhibitors; ADMET; MD simulations; DFT; MOLECULAR-DYNAMICS; DOCKING; 3D-QSAR; DERIVATIVES;
D O I
10.1002/cbdv.202302089
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The SARS-CoV-2 main protease, as a key target for antiviral therapeutics, is instrumental in maintaining virus stability, facilitating translation, and enabling the virus to evade innate immunity. Our research focused on designing non-covalent inhibitors to counteract the action of this protease. Utilizing a 3D-QSAR model and contour map, we successfully engineered eight novel non-covalent inhibitors. Further evaluation and comparison of these novel compounds through methodologies including molecular docking, ADMET analysis, frontier molecular orbital studies, molecular dynamics simulations, and binding free energy revealed that the inhibitors N02 and N03 demonstrated superior research performance (N02 Delta Gbind=-206.648 kJ/mol, N03 Delta Gbind=-185.602 kJ/mol). These findings offer insightful guidance for the further refinement of molecular structures and the development of more efficacious inhibitors. Consequently, future investigations can draw upon these findings to unearth more potent inhibitors, thereby amplifying their impact in the treatment and prevention of associated diseases. + image
引用
收藏
页数:19
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