In silico Exploration of Inhibitors for SARS-CoV-2's Papain-Like Protease

被引:15
|
作者
Huynh, Tien [1 ]
Cornell, Wendy [1 ]
Luan, Binquan [1 ]
机构
[1] IBM Thomas J Watson Res, Computat Biol Ctr, New York, NY 10598 USA
来源
FRONTIERS IN CHEMISTRY | 2021年 / 8卷
关键词
COVID-19; SARS-CoV-2; papain-like protease; docking; molecular dynamics simulation (MD); CORONAVIRUS; OPTIMIZATION; DYNAMICS;
D O I
10.3389/fchem.2020.624163
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with very limited treatments so far. Demonstrated with good druggability, two major proteases of SARS-CoV-2, namely main protease (Mpro) and papain-like protease (PLpro) that are essential for viral maturation, have become the targets for many newly designed inhibitors. Unlike Mpro that has been heavily investigated, PLpro is not well-studied so far. Here, we carried out the in silico high-throughput screening of all FDA-approved drugs via the flexible docking simulation for potential inhibitors of PLpro and explored the molecular mechanism of binding between a known inhibitor rac5c and PLpro. Our results, from molecular dynamics simulation, show that the chances of drug repurposing for PLpro might be low. On the other hand, our long (about 450 ns) MD simulation confirms that rac5c can be bound stably inside the substrate-binding site of PLpro and unveils the molecular mechanism of binding for the rac5c-PLpro complex. The latter may help perform further structural optimization and design potent leads for inhibiting PLpro.
引用
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页数:9
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