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结构-混杂性关系谜题——具有巨大靶点注释差异的广泛检测类似物

Structure-Promiscuity Relationship Puzzles-Extensively Assayed Analogs with Large Differences in Target Annotations.

作者信息

Hu Ye, Jasial Swarit, Gilberg Erik, Bajorath Jürgen

机构信息

Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, 53113, Bonn, Germany.

出版信息

AAPS J. 2017 May;19(3):856-864. doi: 10.1208/s12248-017-0066-8. Epub 2017 Mar 6.

Abstract

Publicly available screening data were systematically searched for extensively assayed structural analogs with large differences in the number of targets they were active against. Screening compounds with potential chemical liabilities that may give rise to assay artifacts were identified and excluded from the analysis. "Promiscuity cliffs" were frequently identified, defined here as pairs of structural analogs with a difference of at least 20 target annotations across all assays they were tested in. New assay indices were introduced to prioritize cliffs formed by screening compounds that were extensively tested in comparably large numbers of assays including many shared assays. In these cases, large differences in promiscuity degrees were not attributable to differences in assay frequency and/or lack of assay overlap. Such analog pairs have high priority for further exploring molecular origins of multi-target activities. Therefore, these promiscuity cliffs and associated target annotations are made freely available. The corresponding analogs often represent equally puzzling and interesting examples of structure-promiscuity relationships.

摘要

系统检索公开可用的筛选数据,以寻找对大量靶点具有活性差异的广泛分析的结构类似物。识别出具有可能导致检测假象的潜在化学缺陷的筛选化合物,并将其排除在分析之外。经常发现“混杂悬崖”,这里定义为在所有测试的分析中靶点注释差异至少为20的结构类似物对。引入了新的分析指标,以对由在大量分析中(包括许多共享分析)进行广泛测试的筛选化合物形成的悬崖进行优先级排序。在这些情况下,混杂程度的巨大差异并非归因于分析频率的差异和/或缺乏分析重叠。此类类似物对对于进一步探索多靶点活性的分子起源具有高度优先级。因此,这些混杂悬崖和相关的靶点注释可免费获取。相应的类似物通常代表结构-混杂关系中同样令人困惑和有趣的例子。

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