药物再利用的网络虚拟筛选:入门。

Journal of biological methods Pub Date : 2021-05-26 eCollection Date: 2021-01-01 DOI:10.14440/jbm.2021.351
Yu Wai Chen, Chin-Pang Bennu Yiu, Kwok-Yin Wong
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引用次数: 1

摘要

我们描述了使用基于web的服务MTiOpenScreen进行计算机(虚拟)筛选的过程,该服务对非商业用户免费开放。我们将以SARS-CoV-2主要蛋白酶为例。从从蛋白质数据库下载的结构开始,我们讨论了如何准备坐标文件,同时考虑到已知的目标蛋白质的生化背景信息。读者会发现,在筛选目标物之前,这个准备步骤占据了大部分的精力。概述了上传目标结构和根据关键残数定义搜索量的步骤,以及使用的主要参数。当遵循该方案时,用户将期望获得停靠在目标结构中的经批准的小药物化合物的排序列表。结果可以很容易地在网站上以图形方式进行检查,也可以下载到本地的分子图形程序(如PyMOL)中进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Virtual screening on the web for drug repurposing: a primer.

Virtual screening on the web for drug repurposing: a primer.

Virtual screening on the web for drug repurposing: a primer.

We describe a procedure of performing in silico (virtual) screening using a web-based service, the MTiOpenScreen, which is freely accessible to non-commercial users. We shall use the SARS-CoV-2 main protease as an example. Starting from a structure downloaded from the Protein Data Bank, we discuss how to prepare the coordinates file, taking into account the known biochemical background information of the target protein. The reader will find that this preparation step takes up most of the effort before the target is ready for screening. The steps for uploading the target structure and defining the search volume by critical residues, and the main parameters to use, are outlined. When this protocol is followed, the user will expect to obtain a ranked list of small approved drug compounds docked into the target structure. The results can be readily examined graphically on the web site or downloaded for studying in a local molecular graphics program such as PyMOL.

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