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G 蛋白偶联受体 - 计算机辅助药物发现与设计。

G protein coupled receptors -in silico drug discovery and design.

机构信息

EPIX Pharmaceuticals Ltd., Ramat Gan 52521, Israel.

出版信息

Curr Top Med Chem. 2010;10(6):638-56. doi: 10.2174/156802610791111498.

Abstract

In silico drug discovery is a complex process requiring flexibility and ingenuity in method selection and a careful validation of work protocols. GPCR in silico drug discovery poses additional challenges due to the paucity of crystallographic data. This paper starts by reviewing selected GPCR in silico screening programs reported in the literature, including both structure-based and ligand-based approaches. Particular emphasis is given to library design, binding mode selection, process validation and compound selection for biological testing. Following literature review, we provide insights into in silico methodologies and process workflows used at EPIX to drive over 20 highly successful screening and lead optimization programs performed since 2001. Applications of the various methodologies discussed are demonstrated by examples from recent programs that have not yet been published.

摘要

计算机药物发现是一个复杂的过程,需要在方法选择上具有灵活性和创造力,并仔细验证工作方案。由于晶体学数据的缺乏,GPCR 的计算机药物发现带来了额外的挑战。本文首先回顾了文献中报道的选定的 GPCR 计算机筛选计划,包括基于结构和基于配体的方法。特别强调了文库设计、结合模式选择、过程验证和化合物选择用于生物测试。在文献综述之后,我们提供了在 EPIX 中用于驱动 20 多个非常成功的筛选和先导优化项目的见解,这些项目自 2001 年以来一直在进行。所讨论的各种方法的应用通过来自最近尚未发表的项目的示例来证明。

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