CosolvKit: a Versatile Tool for Cosolvent MD Preparation and Analysis.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Niccolo' Bruciaferri, Jerome Eberhardt, Manuel A Llanos, Johannes R Loeffler, Matthew Holcomb, Monica L Fernandez-Quintero, Diogo Santos-Martins, Andrew B Ward, Stefano Forli
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引用次数: 0

Abstract

Cosolvent molecular dynamics (MDs) are an increasingly popular form of simulations where small molecule cosolvents are added to water-solvated protein systems. These simulations can perform diverse target characterization tasks, including cryptic and allosteric pocket identification and pharmacophore profiling and supplement suites of enhanced sampling methods to explore protein conformational landscapes. The behavior of these systems is tied to the cosolvents used, so the ability to define diverse and complex mixtures is critical in dictating the outcome of the simulations. However, existing methods for preparing cosolvent simulations only support a limited number of predefined cosolvents and concentrations. Here, we present CosolvKit, a tool for the preparation and analysis of systems composed of user-defined cosolvents and concentrations. This tool is modular, supporting the creation of files for multiple MD engines, as well as direct access to OpenMM simulations, and offering access to a variety of generalizable small-molecule force fields. To the best of our knowledge, CosolvKit represents the first generalized approach for the construction of these simulations.

CosolvKit:用于共溶剂 MD 制备和分析的多功能工具。
共溶剂分子动力学(MD)是一种日益流行的模拟形式,它将小分子共溶剂添加到水溶性蛋白质系统中。这些模拟可以执行各种目标表征任务,包括隐性和异构口袋鉴定和药效谱分析,并对增强采样方法套件进行补充,以探索蛋白质构象景观。这些系统的行为与所使用的共溶剂息息相关,因此定义多样化和复杂混合物的能力对于决定模拟结果至关重要。然而,现有的共溶剂模拟方法只能支持有限数量的预定义共溶剂和浓度。在此,我们介绍 CosolvKit,这是一种用于准备和分析由用户定义的共溶剂和浓度组成的系统的工具。该工具采用模块化设计,支持为多个 MD 引擎创建文件,也可直接访问 OpenMM 模拟,并提供各种可通用的小分子力场。据我们所知,CosolvKit 是首个用于构建这些模拟的通用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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