How Promiscuous Are Pharmaceutically Relevant Compounds? A Data-Driven Assessment

被引:23
作者
Hu, Ye [1 ]
Bajorath, Juergen [1 ]
机构
[1] Univ Bonn, Dept Life Sci Informat, B IT, LIMES Program Unit Chem Biol & Med Chem, D-53113 Bonn, Germany
关键词
activity data; compound promiscuity; database mining; pharmaceutically relevant compounds; polypharmacology; target families; target proteins; PHARMACOLOGY; PREDICTION; DRUGS;
D O I
10.1208/s12248-012-9421-y
中图分类号
R9 [药学];
学科分类号
100702 [药剂学];
摘要
Given the increasing notion of target promiscuity of bioactive compounds and polypharmacological drug behavior, a detailed analysis of publicly available compound activity data from medicinal chemistry sources was carried out to determine and quantify the degree of promiscuity of active compounds across all known human target families. The results are surprising. Approximately 62% of currently available compounds with high-confidence activity data are only annotated with a single biological target, whereas 36% are known to act against multiple targets within the same family (i.e., closely related targets). However, only similar to 2% of bioactive compounds are promiscuous across different target families. Thus, despite general data sparseness, these findings indicate that highly promiscuous bioactive compounds only rarely occur. Because pharmaceutically relevant active compounds represent the pool from which drug candidates emerge, one might extrapolate from these results and conclude that there is a low statistical probability to obtain drugs that act against multiple targets belonging to distinct families.
引用
收藏
页码:104 / 111
页数:8
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