An integrated workflow for proteome-wide off-target identification and polypharmacology drug design

被引:0
|
作者
Evangelidis, Thomas [1 ]
Xie, Li [3 ]
Bourne, Philip E. [2 ]
Xie, Lei [2 ]
机构
[1] Acad Athens, Biomed Res Fdn, Athens, Greece
[2] Univ Calif San Diego, Skaggs Sch Pharm & Pharmaceut Sci, La Jolla, CA 92093 USA
[3] CUNY, Hunter Coll, Dept Comp Sci, New York, NY USA
基金
美国国家卫生研究院;
关键词
Drug discovery; structural proteomics; polypharmacology; off-target; systems biology; HIV PROTEASE INHIBITORS; IN-VITRO; PROMISCUITY; ACTIVATION; EXPRESSION; NELFINAVIR; ALGORITHM; APOPTOSIS; PATHWAY; ROBUST;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
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 statistic analysis of docking scores, and electrostatics potential calculation. 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
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页数:8
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