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虚拟片段筛选:使用 Glide 探索各种片段对接和评分方案。

Virtual fragment screening: an exploration of various docking and scoring protocols for fragments using Glide.

机构信息

AstraZeneca, R&D Boston, 35 Gatehouse Dr., Waltham, MA, 02451, USA.

出版信息

J Comput Aided Mol Des. 2009 Aug;23(8):527-39. doi: 10.1007/s10822-009-9281-4. Epub 2009 Jun 3.

Abstract

Fragment-based drug discovery approaches allow for a greater coverage of chemical space and generally produce high efficiency ligands. As such, virtual and experimental fragment screening are increasingly being coupled in an effort to identify new leads for specific therapeutic targets. Fragment docking is employed to create target-focussed subset of compounds for testing along side generic fragment libraries. The utility of the program Glide with various scoring schemes for fragment docking is discussed. Fragment docking results for two test cases, prostaglandin D2 synthase and DNA ligase, are presented and compared to experimental screening data. Self-docking, cross-docking, and enrichment studies are performed. For the enrichment runs, experimental data exists indicating that the docking decoys in fact do not inhibit the corresponding enzyme being examined. Results indicate that even for difficult test cases fragment docking can yield enrichments significantly better than random.

摘要

基于片段的药物发现方法可以更全面地覆盖化学空间,通常能产生高效的配体。因此,虚拟和实验片段筛选越来越多地结合在一起,以确定针对特定治疗靶点的新先导化合物。片段对接可用于创建针对特定目标的化合物测试子集,同时还可以使用通用片段库进行测试。本文讨论了使用各种评分方案进行片段对接的 Glide 程序的实用性。本文介绍了针对前列腺素 D2 合酶和 DNA 连接酶这两个测试案例的片段对接结果,并将其与实验筛选数据进行了比较。本文还进行了自对接、交叉对接和富集研究。对于富集运行,存在实验数据表明,对接的诱饵实际上并不抑制正在检查的对应酶。结果表明,即使对于困难的测试案例,片段对接也能产生比随机更好的富集效果。

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