Binding of inhibitors to the monomeric and dimeric SARS-CoV-2 Mpro

被引:23
|
作者
Tam, Nguyen Minh [1 ,2 ]
Nam, Pham Cam [3 ]
Quang, Duong Tuan [4 ]
Tung, Nguyen Thanh [5 ,6 ]
Vu, Van V. [7 ]
Ngo, Son Tung [2 ,8 ]
机构
[1] Ton Duc Thang Univ, Computat Chem Res Grp, Ho Chi Minh City, Vietnam
[2] Ton Duc Thang Univ, Fac Appl Sci, Ho Chi Minh City, Vietnam
[3] Univ Danang, Univ Sci & Technol, Dept Chem, Danang, Vietnam
[4] Hue Univ, Univ Educ, Ho Chi Minh City, Vietnam
[5] Vietnam Acad Sci & Technol, Inst Mat Sci, Hanoi, Vietnam
[6] Vietnam Acad Sci & Technol, Grad Univ Sci & Technol, Hanoi, Vietnam
[7] Nguyen Tat Thanh Univ, NTT Hitech Inst, Ho Chi Minh City, Vietnam
[8] Ton Duc Thang Univ, Lab Theoret & Computat Biophys, Ho Chi Minh City, Vietnam
关键词
PROTEASE INHIBITORS; FORCE; OPTIMIZATION; PREDICTION; ACCURACY; DOCKING;
D O I
10.1039/d0ra09858b
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
SARS-CoV-2 rapidly infects millions of people worldwide since December 2019. There is still no effective treatment for the virus, resulting in the death of more than one million patients. Inhibiting the activity of SARS-CoV-2 main protease (Mpro), 3C-like protease (3CLP), is able to block the viral replication and proliferation. In this context, our study has revealed that in silico screening for inhibitors of SARS-CoV-2 Mpro can be reliably done using the monomeric structure of the Mpro instead of the dimeric one. Docking and fast pulling of ligand (FPL) simulations for both monomeric and dimeric forms correlate well with the corresponding experimental binding affinity data of 24 compounds. The obtained results were also confirmed via binding pose and noncovalent contact analyses. Our study results show that it is possible to speed up computer-aided drug design for SARS-CoV-2 Mpro by focusing on the monomeric form instead of the larger dimeric one.
引用
收藏
页码:2926 / 2934
页数:9
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