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基于化学型的活性和选择性分析的 CASE 图:环氧化酶抑制剂的 CASE 研究。

CASE plots for the chemotype-based activity and selectivity analysis: a CASE study of cyclooxygenase inhibitors.

机构信息

Departamento de Sistemas Biológicos, División de Ciencias Biológicas y de la Salud, UAM-X, México, DF 04960, Mexico.

出版信息

Chem Biol Drug Des. 2012 Nov;80(5):752-62. doi: 10.1111/cbdd.12019. Epub 2012 Sep 10.

DOI:10.1111/cbdd.12019
PMID:22883137
Abstract

Structure-activity characterization of molecular databases plays a central role in drug discovery. However, the characterization of large databases containing structurally diverse molecules with several end-points represents a major challenge. For this purpose, the use of chemoinformatic methods plays an important role to elucidate structure-activity relationships. Herein, a general methodology, namely Chemotype Activity and Selectivity Enrichment plots, is presented. Chemotype Activity and Selectivity Enrichment plots provide graphical information concerning the activity and selectivity patterns of particular chemotypes contained in structurally diverse databases. As a case study, we analyzed a set of 658 compounds screened against cyclooxygenase-1 and cyclooxygenase-2. Chemotype Activity and Selectivity Enrichment plots analysis highlighted chemotypes enriched with active and selective molecules against cyclooxygenase-2; all this in a simple 2D graphical representation. Additionally, the most active and selective chemotypes detected in Chemotype Activity and Selectivity Enrichment plots were analyzed separately using the previously reported dual activity-difference maps. These findings indicate that Chemotype Activity and Selectivity Enrichment plots and dual activity-difference maps are complementary chemoinformatic tools to explore the structure-activity relationships of structurally diverse databases screened against two biological end-points.

摘要

结构-活性关系的分子数据库特征分析在药物发现中起着核心作用。然而,对包含具有多个终点的结构多样的分子的大型数据库进行特征分析是一个重大挑战。为此,化学信息学方法的应用对于阐明结构-活性关系起着重要作用。本文提出了一种通用的方法,即“药效团活性和选择性富集图”。药效团活性和选择性富集图提供了有关结构多样的数据库中特定药效团的活性和选择性模式的图形信息。作为案例研究,我们分析了一组针对环氧合酶-1 和环氧合酶-2 筛选的 658 种化合物。药效团活性和选择性富集图分析突出了富含对环氧合酶-2 具有活性和选择性的分子的药效团;所有这些都在简单的二维图形表示中。此外,使用先前报道的双重活性差异图,分别分析了在药效团活性和选择性富集图中检测到的最活跃和选择性最强的药效团。这些发现表明,药效团活性和选择性富集图和双重活性差异图是互补的化学信息学工具,可用于探索针对两个生物终点进行筛选的结构多样的数据库的结构-活性关系。

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