Suppr超能文献

小分子蛋白激酶抑制剂的药效团图谱。

A pharmacophore map of small molecule protein kinase inhibitors.

作者信息

McGregor Malcolm J

机构信息

EMD Serono Research Institute, One Technology Place, Rockland, MA 02370, USA.

出版信息

J Chem Inf Model. 2007 Nov-Dec;47(6):2374-82. doi: 10.1021/ci700244t. Epub 2007 Oct 17.

Abstract

Protein kinases have emerged as one of the major drug target classes that are amenable to the development of small molecule inhibitors. They share a conserved structural similarity in the region of the ATP binding site, where most inhibitors interact. Using a pharmacophore approach, we have explored the features of protein-ligand interactions for a set of 220 kinase crystal structures from the Protein Data Bank (PDB). The resulting "pharmacophore map" shows the interactions made by all ligands with their receptors simultaneously. This gives insight that has been applied in the design of kinase screening sets and combinatorial libraries. An algorithm is described that scores small molecule structures for goodness of fit to the resulting binding site description obtained from the analysis. The algorithm identifies a pose that is close to the crystal structure pose for the majority of ligands, with only the 2D chemical structure as input and no knowledge of the crystal structure from which it was derived. Application of the algorithm to a test screening set gave a useful enrichment of active compounds.

摘要

蛋白激酶已成为适合开发小分子抑制剂的主要药物靶点类别之一。它们在大多数抑制剂相互作用的ATP结合位点区域具有保守的结构相似性。使用药效团方法,我们从蛋白质数据库(PDB)中探索了一组220个激酶晶体结构的蛋白质-配体相互作用特征。所得的“药效团图谱”同时显示了所有配体与其受体的相互作用。这为激酶筛选集和组合文库的设计提供了见解。描述了一种算法,该算法根据从分析中获得的所得结合位点描述对小分子结构的拟合优度进行评分。该算法仅以二维化学结构作为输入,无需了解其来源的晶体结构,就能为大多数配体识别出与晶体结构姿势相近的姿势。将该算法应用于测试筛选集,可有效富集活性化合物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验