How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur

被引:12
|
作者
Giudetti, Goran [1 ]
Polyakov, Igor [2 ]
Grigorenko, Bella L. [2 ]
Faraji, Shirin [3 ]
Nemukhin, Alexander V. [2 ]
Krylov, Anna I. [1 ]
机构
[1] Univ Southern Calif, Dept Chem, Los Angeles, CA 90089 USA
[2] Lomonosov Moscow State Univ, Dept Chem, Moscow 119991, Russia
[3] Univ Groningen, Zernike Inst Adv Mat, NL-9747 Groningen AG, Netherlands
基金
美国国家科学基金会; 荷兰研究理事会; 俄罗斯科学基金会;
关键词
QUANTUM MECHANICS/MOLECULAR MECHANICS; REDISTRIBUTED CHARGE; DENSITY FUNCTIONALS; MOLECULAR-DYNAMICS; PROTON-TRANSFER; FREE-ENERGY; CYSTEINE; BINDING; ENVIRONMENT; SCHEMES;
D O I
10.1021/acs.jctc.2c00286
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This work explores the level of transparency in reporting the details of computational protocols that is required for practical reproducibility of quantum mechanics/molecular mechanics (QM/MM) simulations. Using the reaction of an essential SARS-CoV-2 enzyme (the main protease) with a covalent inhibitor (carmofur) as a test case of chemical reactions in biomolecules, we carried out QM/MM calculations to determine the structures and energies of the reactants, the product, and the transition state/intermediate using analogous QM/MM models implemented in two software packages, NWChem and Q-Chem. Our main benchmarking goal was to reproduce the key energetics computed with the two packages. Our results indicate that quantitative agreement (within the numerical thresholds used in calculations) is difficult to achieve. We show that rather minor details of QM/ MM simulations must be reported in order to ensure the reproducibility of the results and offer suggestions toward developing practical guidelines for reporting the results of biosimulations.
引用
收藏
页码:5056 / 5067
页数:12
相关论文
共 50 条
  • [1] Structural basis for the inhibition of SARS-CoV-2 main protease by antineoplastic drug carmofur
    Zhenming Jin
    Yao Zhao
    Yuan Sun
    Bing Zhang
    Haofeng Wang
    Yan Wu
    Yan Zhu
    Chen Zhu
    Tianyu Hu
    Xiaoyu Du
    Yinkai Duan
    Jing Yu
    Xiaobao Yang
    Xiuna Yang
    Kailin Yang
    Xiang Liu
    Luke W. Guddat
    Gengfu Xiao
    Leike Zhang
    Haitao Yang
    Zihe Rao
    Nature Structural & Molecular Biology, 2020, 27 : 529 - 532
  • [2] Structural basis for the inhibition of SARS-CoV-2 main protease by antineoplastic drug carmofur
    Jin, Zhenming
    Zhao, Yao
    Sun, Yuan
    Zhang, Bing
    Wang, Haofeng
    Wu, Yan
    Zhu, Yan
    Zhu, Chen
    Hu, Tianyu
    Du, Xiaoyu
    Duan, Yinkai
    Yu, Jing
    Yang, Xiaobao
    Yang, Xiuna
    Yang, Kailin
    Liu, Xiang
    Guddat, Luke W.
    Xiao, Gengfu
    Zhang, Leike
    Yang, Haitao
    Rao, Zihe
    NATURE STRUCTURAL & MOLECULAR BIOLOGY, 2020, 27 (06) : 529 - +
  • [3] Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2
    Nemukhin, A. V.
    Grigorenko, B. L.
    Lushchekina, S. V.
    Varfolomeev, S. D.
    RUSSIAN CHEMICAL BULLETIN, 2021, 70 (11) : 2084 - 2089
  • [4] Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2
    A. V. Nemukhin
    B. L. Grigorenko
    S. V. Lushchekina
    S. D. Varfolomeev
    Russian Chemical Bulletin, 2021, 70 : 2084 - 2089
  • [5] Computational Modeling of the SARS-CoV-2 Main Protease Inhibition by the Covalent Binding of Prospective Drug Molecules
    Nemukhin A.V.
    Grigorenko B.L.
    Polyakov I.V.
    Lushchekina S.V.
    Supercomputing Frontiers and Innovations, 2020, 7 (03) : 25 - 32
  • [6] Impact of Warhead Modulations on the Covalent Inhibition of SARS-CoV-2 M-pro Explored by QM/MM Simulations
    Marti, Sergio
    Arafet, Kemel
    Lodola, Alessio
    Mulholland, Adrian J.
    Swiderek, Katarzyna
    Moliner, Vicent
    ACS CATALYSIS, 2022, 12 (01) : 698 - 708
  • [7] Multiscale Simulations of the Covalent Inhibition of the SARS-CoV-2 Main Protease: Four Compounds and Three Reaction Mechanisms
    Grigorenko, Bella L.
    Polyakov, Igor V.
    Khrenova, Maria G.
    Giudetti, Goran
    Faraji, Shirin
    Krylov, Anna I.
    Nemukhin, Alexander V.
    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2023, 145 (24) : 13204 - 13214
  • [8] Computational Insights into Acrylamide Fragment Inhibition of SARS-CoV-2 Main Protease
    Chen, Ping
    Wu, Liyuan
    Qin, Bo
    Yao, Haodong
    Xu, Deting
    Cui, Sheng
    Zhao, Lina
    CURRENT ISSUES IN MOLECULAR BIOLOGY, 2024, 46 (11) : 12847 - 12865
  • [9] Structural modification of antineoplastic drug carmofur designed to the inhibition of SARS-CoV-2 main protease: A theoretical investigation
    Hemati, Niloofar
    Hadidi, Saba
    Shiri, Farshad
    Farzaei, Mohammad Hosein
    RESULTS IN CHEMISTRY, 2022, 4
  • [10] Exploring the covalent inhibition mechanisms of inhibitors with two different warheads acting on SARS-CoV-2 Mpro by QM/MM simulations
    Yang, Xiaoyue
    Chen, Mengguo
    Yuan, Fanru
    Zhang, Jiangnan
    Song, Jinshuai
    Yang, Longhua
    COMPUTATIONAL AND THEORETICAL CHEMISTRY, 2024, 1242