Katarzyna Walczewska-Szewc,Beata Niklas,Kamil Szewc,Wiesław Nowak
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引用次数: 0
Abstract
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.
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.
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