XDock: A General Docking Method for Modeling Protein-Ligand and Nucleic Acid-Ligand Interactions.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-11-27 DOI:10.1021/acs.jcim.4c00855
Qilong Wu, Sheng-You Huang
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Abstract

Molecular docking is an essential computational tool in structure-based drug discovery and the investigation of the molecular mechanisms underlying biological processes. Despite the development of many molecular docking programs for various systems, a universal tool that can accurately dock ligands across multiple system types remains elusive. Meeting the need, we developed XDock, a versatile docking framework built for both protein-ligand and nucleic acid-ligand interactions. XDock efficiently accounts for ligand flexibility by docking multiple conformations of a ligand and flexibly refining the final binding poses. It utilizes a distance geometric method for ligand sampling and leverages our knowledge-based scoring functions for assessing protein-ligand and nucleic acid-ligand interactions. XDock has undergone extensive validations on diverse benchmarks of protein-ligand and nucleic acid-ligand complexes and was compared with six other docking methods, including DOCK 6, AutoDock Vina, PLANTS, LeDock, rDock, and RLDock. In addition, XDock is also computationally efficient and on average can dock a ligand within 1 min.

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XDock:用于模拟蛋白质配体和核酸配体相互作用的通用对接方法。
分子对接是基于结构的药物发现和生物过程分子机制研究的重要计算工具。尽管针对各种系统开发了许多分子对接程序,但能在多种系统类型中准确对接配体的通用工具仍未问世。为了满足这一需求,我们开发了 XDock,这是一个通用的对接框架,可用于蛋白质-配体和核酸-配体之间的相互作用。XDock 通过对接配体的多种构象并灵活改进最终的结合位置,有效地考虑了配体的灵活性。它采用距离几何方法进行配体取样,并利用我们基于知识的评分功能来评估蛋白质-配体和核酸-配体之间的相互作用。XDock 在蛋白质-配体和核酸-配体复合物的不同基准上进行了广泛的验证,并与其他六种对接方法进行了比较,包括 DOCK 6、AutoDock Vina、PLANTS、LeDock、rDock 和 RLDock。此外,XDock 的计算效率也很高,平均能在 1 分钟内对接配体。
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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