加速分子动力学模拟在预测结合动力学参数中的作用。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-01-01 DOI:10.2174/0113895575252165231122095555
Jianzhong Chen, Wei Wang, Haibo Sun, Weikai He
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引用次数: 0

摘要

合理预测药物与靶点的结合动力学参数对未来的药物设计具有重要作用。要准确预测药物与靶点的结合动力学参数,必须对靶点进行全面的构象取样。在本综述中,我们主要关注增强采样技术在药物结合动力学参数和停留时间计算中的应用。分子动力学模拟所涉及的方法不仅可用于探测靶标的构象变化,还可用于揭示对药物效率具有重要意义的停留时间计算。在这篇综述中,我们特别关注加速分子动力学(aMD)和高斯 aMD(GaMD)模拟,它们被用来预测结合或解离速率常数。我们还期望本综述能为未来的药物设计提供有用的信息。
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Roles of Accelerated Molecular Dynamics Simulations in Predictions of Binding Kinetic Parameters.

Rational predictions on binding kinetics parameters of drugs to targets play significant roles in future drug designs. Full conformational samplings of targets are requisite for accurate predictions of binding kinetic parameters. In this review, we mainly focus on the applications of enhanced sampling technologies in calculations of binding kinetics parameters and residence time of drugs. The methods involved in molecular dynamics simulations are applied to not only probe conformational changes of targets but also reveal calculations of residence time that is significant for drug efficiency. For this review, special attention are paid to accelerated molecular dynamics (aMD) and Gaussian aMD (GaMD) simulations that have been adopted to predict the association or disassociation rate constant. We also expect that this review can provide useful information for future drug design.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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