High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor

被引:78
作者
Clyde, Austin [2 ,4 ,5 ]
Galanie, Stephanie [1 ,2 ]
Kneller, Daniel W. [2 ,3 ]
Ma, Heng [2 ,4 ]
Babuji, Yadu [2 ,5 ]
Blaiszik, Ben [2 ,4 ]
Brace, Alexander [2 ,4 ,5 ]
Brettin, Thomas [2 ,6 ]
Chard, Kyle [2 ,5 ]
Chard, Ryan [2 ,4 ,5 ]
Coates, Leighton [2 ,3 ]
Foster, Ian [2 ,4 ,5 ]
Hauner, Darin [2 ,7 ]
Kertesz, Vilmos [1 ,2 ]
Kumar, Neeraj [2 ,7 ]
Lee, Hyungro [2 ,8 ]
Li, Zhuozhao [2 ,4 ,5 ]
Merzky, Andre [2 ,8 ]
Schmidt, Jurgen G. [2 ,9 ]
Tan, Li [2 ,8 ]
Titov, Mikhail [2 ,8 ]
Trifan, Anda [2 ,10 ]
Turilli, Matteo [2 ,8 ,11 ]
Van Dam, Hubertus [2 ,11 ]
Chennubhotla, Srinivas C. [2 ,12 ]
Jha, Shantenu [2 ,8 ,11 ]
Kovalevsky, Andrey [2 ,13 ]
Ramanathan, Arvind [2 ,4 ]
Head, Martha S. [2 ,14 ]
Stevens, Rick [2 ,5 ,6 ]
机构
[1] Oak Ridge Natl Lab, Biosci Div, Oak Ridge, TN 37831 USA
[2] Natl Virtual Biotechnol Lab, Washington, DC 20585 USA
[3] Oak Ridge Natl Lab, Neutron Scattering Div, Oak Ridge, TN 37831 USA
[4] Argonne Natl Lab, Data Sci & Learning Div, Lemont, IL 60439 USA
[5] Univ Chicago, Dept Comp Sci, Chicago, IL 60615 USA
[6] Argonne Natl Lab, Comp Environm & Life Sci Directorate, Lemont, IL 60439 USA
[7] Pacific Northwest Natl Lab, Biol Sci Div, Computat Biol Grp, Richland, WA 99352 USA
[8] Rutgers State Univ, Dept Elect & Comp Engn, Piscataway, NJ 08854 USA
[9] Los Alamos Natl Lab, Biosci Div, Los Alamos, NM 87545 USA
[10] Univ Illinois, Champaign, IL 61820 USA
[11] Brookhaven Natl Lab, Computat Sci Initiat, Upton, NY 11973 USA
[12] Univ Pittsburgh, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USA
[13] Oak Ridge Natl Lab, Target Stn 2, Oak Ridge, TN 37831 USA
[14] Oak Ridge Natl Lab, Joint Inst Biol Sci, Oak Ridge, TN 37831 USA
关键词
DOCKING; ACCURACY; BINDING; DESIGN; AMBER;
D O I
10.1021/acs.jcim.1c00851
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Despite the recent availability of vaccines against the acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the search for inhibitory therapeutic agents has assumed importance especially in the context of emerging new viral variants. In this paper, we describe the discovery of a novel noncovalent small-molecule inhibitor, MCULE-5948770040, that binds to and inhibits the SARS-Cov-2 main protease (M-pro) by employing a scalable high-throughput virtual screening (HTVS) framework and a targeted compound library of over 6.5 million molecules that could be readily ordered and purchased. Our HTVS framework leverages the U.S. supercomputing infrastructure achieving nearly 91% resource utilization and nearly 126 million docking calculations per hour. Downstream biochemical assays validate this M-pro inhibitor with an inhibition constant (K-i) of 2.9 mu M (95% CI 2.2, 4.0). Furthermore, using room-temperature X-ray crystallography, we show that MCULE-5948770040 binds to a cleft in the primary binding site of M-pro forming stable hydrogen bond and hydrophobic interactions. We then used multiple its-time scale molecular dynamics (MD) simulations and machine learning (ML) techniques to elucidate how the bound ligand alters the conformational states accessed by M-pro, involving motions both proximal and distal to the binding site. Together, our results demonstrate how MCULE-5948770040 inhibits M-pro and offers a springboard for further therapeutic design.
引用
收藏
页码:116 / 128
页数:13
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