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分子动力学模拟与新型药物发现

Molecular dynamics simulations and novel drug discovery.

作者信息

Liu Xuewei, Shi Danfeng, Zhou Shuangyan, Liu Hongli, Liu Huanxiang, Yao Xiaojun

机构信息

a State Key Laboratory of Applied Organic Chemistry and Department of Chemistry , Lanzhou University , Lanzhou , China.

b School of Pharmacy , Lanzhou University , Lanzhou , China.

出版信息

Expert Opin Drug Discov. 2018 Jan;13(1):23-37. doi: 10.1080/17460441.2018.1403419. Epub 2017 Nov 15.

Abstract

Molecular dynamics (MD) simulations can provide not only plentiful dynamical structural information on biomacromolecules but also a wealth of energetic information about protein and ligand interactions. Such information is very important to understanding the structure-function relationship of the target and the essence of protein-ligand interactions and to guiding the drug discovery and design process. Thus, MD simulations have been applied widely and successfully in each step of modern drug discovery. Areas covered: In this review, the authors review the applications of MD simulations in novel drug discovery, including the pathogenic mechanisms of amyloidosis diseases, virtual screening and the interaction mechanisms between drugs and targets. Expert opinion: MD simulations have been used widely in investigating the pathogenic mechanisms of diseases caused by protein misfolding, in virtual screening, and in investigating drug resistance mechanisms caused by mutations of the target. These issues are very difficult to solve by experimental methods alone. Thus, in the future, MD simulations will have wider application with the further improvement of computational capacity and the development of better sampling methods and more accurate force fields together with more efficient analysis methods.

摘要

分子动力学(MD)模拟不仅可以提供关于生物大分子丰富的动态结构信息,还能提供有关蛋白质与配体相互作用的大量能量信息。此类信息对于理解靶点的结构-功能关系以及蛋白质-配体相互作用的本质,进而指导药物发现和设计过程非常重要。因此,MD模拟已在现代药物发现的各个步骤中得到广泛且成功的应用。涵盖领域:在本综述中,作者回顾了MD模拟在新型药物发现中的应用,包括淀粉样变性疾病的致病机制、虚拟筛选以及药物与靶点之间的相互作用机制。专家观点:MD模拟已广泛用于研究由蛋白质错误折叠引起的疾病的致病机制、虚拟筛选以及研究由靶点突变导致的耐药机制。仅靠实验方法很难解决这些问题。因此,未来随着计算能力的进一步提高、更好的采样方法和更精确的力场的发展以及更高效的分析方法的出现,MD模拟将有更广泛的应用。

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