FE-ToolKit:一个多功能软件套件,用于分析高维自由能表面和炼金术自由能网络

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Timothy J. Giese, Ryan Snyder, Zeke Piskulich, German P. Barletta, Shi Zhang, Erika McCarthy, Şölen Ekesan and Darrin M. York*, 
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引用次数: 0

摘要

自由能模拟在多种生物应用中发挥着关键作用,包括酶设计,药物发现和生物分子工程。表征高维自由能表面下的复杂酶的机制需要广泛的采样,通过伞采样或串方法模拟。大型配体库中靶结合自由能的准确排序依赖于组织在热力学网络中的综合炼金术自由能计算。这些方法的预测准确性取决于强大的、可扩展的工具,用于网络范围的数据分析和从异构模拟数据中提取物理特性。在这里,我们介绍FE-ToolKit,一个多功能软件套件,用于自动分析自由能面,最小自由能路径和炼金术自由能网络(热力学图)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

FE-ToolKit: A Versatile Software Suite for Analysis of High-Dimensional Free Energy Surfaces and Alchemical Free Energy Networks

FE-ToolKit: A Versatile Software Suite for Analysis of High-Dimensional Free Energy Surfaces and Alchemical Free Energy Networks

Free energy simulations play a pivotal role in diverse biological applications, including enzyme design, drug discovery, and biomolecular engineering. The characterization of high-dimensional free energy surfaces underlying complex enzymatic mechanisms necessitates extensive sampling through umbrella sampling or string method simulations. Accurate ranking of target-binding free energies across large ligand libraries relies on comprehensive alchemical free energy calculations organized into thermodynamic networks. The predictive accuracy of these methods hinges on robust, scalable tools for networkwide data analysis and extraction of physical properties from heterogeneous simulation data. Here, we introduce FE-ToolKit, a versatile software suite for the automated analysis of free energy surfaces, minimum free energy paths, and alchemical free energy networks (thermodynamic graphs).

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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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