CHARMM-GUI EnzyDocker for Protein-Ligand Docking of Multiple Reactive States along a Reaction Coordinate in Enzymes.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-02-25 Epub Date: 2025-02-14 DOI:10.1021/acs.jctc.4c01691
Donghyuk Suh, Renana Schwartz, Prashant Kumar Gupta, Shani Zev, Dan T Major, Wonpil Im
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引用次数: 0

Abstract

Enzymes play crucial roles in all biological systems by catalyzing a myriad of chemical reactions. These reactions range from simple one-step processes to intricate multistep cascades. Predicting mechanistically appropriate binding modes along a reaction pathway for substrate, product, and all reaction intermediates and transition states is a daunting task. To address this challenge, special docking programs like EnzyDock have been developed. Yet, running such docking simulations is complicated due to the nature of multistep enzyme processes. This work presents CHARMM-GUI EnzyDocker, a web-based cyberinfrastructure designed to streamline the preparation and running of EnzyDock docking simulations. The development of EnzyDocker has been achieved through integration of existing CHARMM-GUI modules, such as PDB Reader and Manipulator, Ligand Designer, and QM/MM Interfacer. In addition, new functionalities have been developed to facilitate a one-stop preparation of multistate and multiscale docking systems and enable interactive and intuitive ligand modifications and flexible protein residues selections. A simple setup related to multiligand docking is automatized through intuitive user interfaces. EnzyDocker offers support for standard classical docking and QM/MM docking with CHARMM built-in semiempirical engines. Automated consensus restraints for incorporating experimental knowledge into the docking are facilitated via a maximum common substructure algorithm. To illustrate the robustness of EnzyDocker, we conducted docking simulations of three enzyme systems: dihydrofolate reductase, SARS-CoV-2 Mpro, and the diterpene synthase CotB2. In addition, we have created four tutorial videos about these systems, which can be found at https://www.charmm-gui.org/demo/enzydock. EnzyDocker is expected to be a valuable and accessible web-based tool that simplifies and accelerates the setup process for multistate docking for enzymes.

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CHARMM-GUI酶docker用于酶中多种反应态的蛋白质-配体对接。
酶通过催化无数的化学反应,在所有生物系统中起着至关重要的作用。这些反应的范围从简单的一步过程到复杂的多步级联。沿着反应途径预测底物、产物和所有反应中间体和过渡态的机械适当的结合模式是一项艰巨的任务。为了应对这一挑战,开发了像酶dock这样的特殊对接程序。然而,由于多步骤酶过程的性质,运行这样的对接模拟是复杂的。这项工作提出了CHARMM-GUI酶docker,一个基于网络的网络基础设施,旨在简化酶dock对接模拟的准备和运行。酶docker的开发是通过集成现有的CHARMM-GUI模块,如PDB读取器和操作器,配体设计器,QM/MM接口。此外,还开发了新的功能,以促进一站式制备多状态和多尺度对接系统,并实现交互式和直观的配体修饰和灵活的蛋白质残基选择。通过直观的用户界面自动化了与多配体对接相关的简单设置。酶docker提供支持标准的经典对接和QM/MM对接与CHARMM内置的半经验引擎。通过最大公共子结构算法,实现了将实验知识纳入对接的自动共识约束。为了说明酶docker的稳健性,我们对三种酶系统进行了对接模拟:二氢叶酸还原酶、SARS-CoV-2 Mpro和二萜合成酶CotB2。此外,我们还制作了四个关于这些系统的教程视频,可以在https://www.charmm-gui.org/demo/enzydock上找到。酶docker有望成为一个有价值的、可访问的基于网络的工具,简化和加速酶的多状态对接的设置过程。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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