基于分子对接的高通量虚拟筛选计算平台。

IF 1.3 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Baohua Zhang, Hui Li, Kunqian Yu, Zhong Jin
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引用次数: 16

摘要

基于结构的虚拟筛选是计算机辅助药物设计的一种关键、常规的计算方法。这种筛选可以用来识别潜在的高活性化合物,以加快新药设计的进展。基于分子对接的虚拟筛选可以通过识别受体与配体之间的结合亲和力,帮助从大型配体数据库中发现活性化合物。在这项研究中,我们分析了虚拟筛选的挑战,目的是比通常可能更快、更容易地识别高活性化合物。我们讨论了分子对接软件的准确性和速度以及高通量分子对接计算策略,并重点讨论了超大规模虚拟筛选目前面临的挑战和解决这些挑战的方法。Web服务的发展有助于降低药物虚拟筛选的障碍。介绍了一些相关的对接和虚拟筛选网站,重点介绍了前、后处理交互式可视化和大规模计算的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular docking-based computational platform for high-throughput virtual screening.

Molecular docking-based computational platform for high-throughput virtual screening.

Molecular docking-based computational platform for high-throughput virtual screening.

Molecular docking-based computational platform for high-throughput virtual screening.

Structure-based virtual screening is a key, routine computational method in computer-aided drug design. Such screening can be used to identify potentially highly active compounds, to speed up the progress of novel drug design. Molecular docking-based virtual screening can help find active compounds from large ligand databases by identifying the binding affinities between receptors and ligands. In this study, we analyzed the challenges of virtual screening, with the aim of identifying highly active compounds faster and more easily than is generally possible. We discuss the accuracy and speed of molecular docking software and the strategy of high-throughput molecular docking calculation, and we focus on current challenges and our solutions to these challenges of ultra-large-scale virtual screening. The development of Web services helps lower the barrier to drug virtual screening. We introduced some related web sites for docking and virtual screening, focusing on the development of pre- and post-processing interactive visualization and large-scale computing.

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来源期刊
CiteScore
2.20
自引率
11.10%
发文量
43
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