An Integrated Workflow for Proteome-Wide Off-Target Identification and Polypharmacology Drug Design

被引:0
|
作者
Thomas Evangelidis
Lei Xie
机构
[1] the Department of Pharmaceutical Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens
[2] the Department of Computer Science, Hunter College, The Graduate Center, The City University of New York
基金
美国国家卫生研究院;
关键词
drug discovery; structural proteomics; polypharmacology; off-target; systems biology;
D O I
暂无
中图分类号
TQ460.1 [基础理论];
学科分类号
1007 ;
摘要
Polypharmacology, which focuses on designing drugs to target multiple receptors, has emerged as a new paradigm in drug discovery. To rationally design multi-target drugs, it is fundamental to understand protein-ligand interactions on a proteome scale. We have developed a Proteome-wide Off-target Pipeline(POP) that integrates ligand binding site analysis, protein-ligand docking, the statistical analysis of docking scores, and electrostatic potential calculations. The utility of POP is demonstrated by a case study, in which the molecular mechanism of anti-cancer effect of Nelfinavir is hypothesized. By combining structural proteome-wide off-target identification and systems biology, it is possible for us to correlate drug perturbations with clinical outcomes.
引用
收藏
页码:275 / 284
页数:10
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