multiSMD -一个用于多向操纵分子动力学的Python工具集。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Katarzyna Walczewska-Szewc,Beata Niklas,Kamil Szewc,Wiesław Nowak
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引用次数: 0

摘要

分子力控制着从细胞力学到分子识别事件的所有生物过程。理解这些力的方向依赖性对于阐明基本的相互作用,如蛋白质-蛋白质结合、配体解离和信号机械转导尤为重要。虽然定向分子动力学(SMD)模拟可以研究力诱导的过渡,但传统的单向方法可能会忽略生物分子系统固有的各向异性力学响应。因此,探测分子系统相对于外力方向的机械稳定性可以提供关键信息。在这里,我们介绍multiSMD,一个基于python的工具,可以在NAMD和GROMACS中自动设置和分析多向SMD模拟。通过系统地探测沿着多个空间矢量的力,multiSMD捕获了在标准SMD中仍然隐藏的方向相关现象,例如变化的能量势垒或结构弹性。我们通过三个不同的应用证明了我们的方法的实用性:(i)蛋白质复合物的各向异性解结合,(ii)寻找依赖于拉动方向的配体解离途径,以及(iii)蛋白质内部无序区域的力诱导重塑。multiSMD简化了对生物分子纳米力学各向异性的探索,提供了一个计算框架来指导实验(例如,原子力显微镜- AFM或光学镊子),并揭示单轴方法无法获得的力学特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
multiSMD - A Python Toolset for Multidirectional Steered Molecular Dynamics.
Molecular forces govern all biological processes from cellular mechanics to molecular recognition events. Understanding the direction-dependence of these forces is particularly critical for elucidating fundamental interactions, such as protein-protein binding, ligand dissociation, and signal mechanotransduction. While steered molecular dynamics (SMD) simulations enable the study of force-induced transitions, conventional single-direction approaches may overlook anisotropic mechanical responses inherent to biomolecular systems. Therefore, probing the mechanical stability of molecular systems with respect to a director of an external force may provide critical information. Here, we present multiSMD, a Python-based tool that automates the setup and analysis of multidirectional SMD simulations in NAMD and GROMACS. By systematically probing forces along multiple spatial vectors, multiSMD captures direction-dependent phenomena, such as changing energy barriers or structural resilience, that remain hidden in standard SMD. We demonstrate the utility of our approach through three distinct applications: (i) anisotropic unbinding in a protein-protein complex, (ii) search for ligand dissociation pathways dependent on the pulling direction, and (iii) force-induced remodeling of intrinsically disordered regions in proteins. multiSMD streamlines the exploration of nanomechanical anisotropy in biomolecules, offering a computational framework to guide experiments (e.g., atomic force microscopy - AFM or optical tweezers) and uncover mechanistic properties inaccessible to single-axis methods.
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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