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在大型坐标数据库中搜索药效团及其在药物设计中的应用。

Searching for pharmacophores in large coordinate data bases and its use in drug design.

作者信息

Sheridan R P, Rusinko A, Nilakantan R, Venkataraghavan R

机构信息

Medical Research Division, Lederle Laboratories, American Cyanamid, Pearl River, NY 10965.

出版信息

Proc Natl Acad Sci U S A. 1989 Oct;86(20):8165-9. doi: 10.1073/pnas.86.20.8165.

Abstract

Pharmacophores, three-dimensional arrangements of chemical groups essential for biological activity, are being proposed in increasing numbers. We have developed a system to search data bases of three-dimensional coordinates for compounds that contain a particular pharmacophore. The coordinates can be derived from experiment (e.g., Cambridge Crystal Database) or be generated from data bases of connection tables (e.g., Cyanamid Laboratories proprietary compounds) via the program CONCORD. We discuss the results of searches for three sample pharmacophores. Two have been proposed by others based on the conformational analysis of active compounds, and one is inferred from the crystal structure of a protein-ligand complex. These examples show that such searches can identify classes of compounds that are structurally different from the compounds from which the pharmacophore was derived but are known to have the appropriate biological activity. Occasionally, the searches find bond "frameworks" in which the important groups are rigidly held in the proper geometry. These may suggest new structural classes for synthesis.

摘要

药效基团,即生物活性所必需的化学基团的三维排列,其数量正在不断增加。我们已经开发出一种系统,用于在三维坐标数据库中搜索含有特定药效基团的化合物。这些坐标可以从实验(如剑桥晶体数据库)中获得,或者通过CONCORD程序从连接表数据库(如氰胺公司的专利化合物)中生成。我们讨论了对三种示例药效基团的搜索结果。其中两种是其他人基于活性化合物的构象分析提出的,另一种是从蛋白质-配体复合物的晶体结构推断出来的。这些例子表明,此类搜索能够识别出在结构上与药效基团所源自的化合物不同,但已知具有适当生物活性的化合物类别。偶尔,搜索会找到一些键“框架”,其中重要基团以适当的几何形状刚性固定。这些可能会为合成建议新的结构类别。

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