Discovery of novel chemotypes to a G-protein-coupled receptor through ligand-steered homology modeling and structure-based virtual screening

被引:134
作者
Cavasotto, Claudio N. [1 ]
Orry, Andrew J. W. [1 ]
Murgolo, Nicholas J. [2 ]
Czarniecki, Michael F. [3 ]
Kocsi, Sue Ann [3 ]
Hawes, Brian E. [4 ]
O'Neill, Kim A. [4 ]
Hine, Heather [3 ]
Burton, Marybeth S. [3 ]
Voigt, Johannes H. [5 ]
Abagyan, Ruben A. [7 ]
Bayne, Marvin L. [2 ]
Monsma, Frederick J., Jr. [6 ]
机构
[1] MolSoft LLC, La Jolla, CA 92037 USA
[2] Schering Plough Res Inst, Dept Discovery Technol, Kenilworth, NJ 07033 USA
[3] Schering Plough Res Inst, Dept Chem Technol, Kenilworth, NJ 07033 USA
[4] Schering Plough Res Inst, Dept Cardiovasc Biol, Kenilworth, NJ 07033 USA
[5] Schering Plough Res Inst, Dept Struct Chem, Kenilworth, NJ 07033 USA
[6] Schering Plough Res Inst, Dept New Lead Discovery, Kenilworth, NJ 07033 USA
[7] Scripps Res Inst, La Jolla, CA 92037 USA
关键词
D O I
10.1021/jm070759m
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Melanin-concentrating hormone receptor 1 (MCH-R1) is a G-protein-coupled receptor (GPCR) and a target for the development of therapeutics for obesity. The structure-based development of MCH-R1 and other GPCR antagonists is hampered by the lack of an available experimentally determined atomic structure. A ligand-steered homology modeling approach has been developed (where information about existing ligands is used explicitly to shape and optimize the binding site) followed by docking-based virtual screening. Top scoring compounds identified virtually were tested experimentally in an MCH-R1 competitive binding assay, and six novel chemotypes as low micromolar affinity antagonist "hits" were identified. This success rate is more than a 10-fold improvement over random high-throughput screening, which supports our ligand-steered method. Clearly, the ligand-steered homology modeling method reduces the uncertainty of structure modeling for difficult targets like GPCRs.
引用
收藏
页码:581 / 588
页数:8
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