Suppr超能文献

从药物结构域关联看多药理学。

Insights into polypharmacology from drug-domain associations.

机构信息

Department of Molecular Biology and Biochemistry, University of Malaga, Málaga, Spain.

出版信息

Bioinformatics. 2013 Aug 15;29(16):1934-7. doi: 10.1093/bioinformatics/btt321. Epub 2013 Jun 5.

Abstract

MOTIVATION

Polypharmacology (the ability of a single drug to affect multiple targets) is a key feature that may explain part of the decreasing success of conventional drug discovery strategies driven by the quest for drugs to act selectively on a single target. Most drug targets are proteins that are composed of domains (their structural and functional building blocks).

RESULTS

In this work, we model drug-domain networks to explore the role of protein domains as drug targets and to explain drug polypharmacology in terms of the interactions between drugs and protein domains. We find that drugs are organized around a privileged set of druggable domains.

CONCLUSIONS

Protein domains are a good proxy for drug targets, and drug polypharmacology emerges as a consequence of the multi-domain composition of proteins.

CONTACT

amoyag@uma.es

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

多药理学(一种药物能影响多个靶点的能力)是一个关键特征,它可能部分解释了传统药物发现策略的成功率下降的原因,这些策略是为了寻找选择性作用于单个靶点的药物而驱动的。大多数药物靶点都是由结构域(其结构和功能构建块)组成的蛋白质。

结果

在这项工作中,我们构建了药物-结构域网络,以探索蛋白质结构域作为药物靶点的作用,并根据药物与蛋白质结构域之间的相互作用来解释药物的多药理学。我们发现药物围绕着一组特权的可成药结构域组织。

结论

蛋白质结构域是药物靶点的良好替代品,而药物的多药理学则是蛋白质多结构域组成的结果。

联系方式

amoyag@uma.es

补充信息

补充数据可在“Bioinformatics”在线获取。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验