分子动力学模拟:洞察蛋白质和蛋白质配体相互作用。

Q1 Pharmacology, Toxicology and Pharmaceutics
Advances in pharmacology Pub Date : 2025-01-01 Epub Date: 2025-02-06 DOI:10.1016/bs.apha.2025.01.007
Sonam Grewal, Geeta Deswal, Ajmer Singh Grewal, Kumar Guarve
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引用次数: 0

摘要

分子动力学(MD)模拟是研究生物分子系统的有力工具,可以深入了解蛋白质的动态行为及其与配体的相互作用。本章深入研究了MD模拟的基本原理和方法,探索它们如何有助于我们理解蛋白质结构,构象变化以及蛋白质-配体相互作用的机制。我们讨论了驱动MD模拟的计算技术、力场和算法,重点介绍了它们在药物发现和设计中的应用。通过案例研究和实际例子,我们说明了MD模拟的能力和局限性,强调了它们在预测结合亲和性、阐明结合途径和优化先导化合物方面的作用。本章提供了一个透彻的理解如何MD模拟可以利用来推进蛋白质-配体相互作用的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular dynamics simulations: Insights into protein and protein ligand interactions.

Molecular dynamics (MD) simulations are a powerful tool for studying biomolecular systems, offering in-depth insights into the dynamic behaviors of proteins and their interactions with ligands. This chapter delves into the fundamental principles and methodologies of MD simulations, exploring how they contribute to our understanding of protein structures, conformational changes, and the mechanisms underlying protein-ligand interactions. We discuss the computational techniques, force fields, and algorithms that drive MD simulations, highlighting their applications in drug discovery and design. Through case studies and practical examples, we illustrate the capabilities and limitations of MD simulations, emphasizing their role in predicting binding affinities, elucidating binding pathways, and optimizing lead compounds. This chapter offers a thorough understanding of how MD simulations can be leveraged to advance the study of protein-ligand interactions.

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来源期刊
Advances in pharmacology
Advances in pharmacology Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
9.10
自引率
0.00%
发文量
45
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