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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.
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