A new crystal structure fragment-based pharmacophore method for G protein-coupled receptors

被引:20
|
作者
Fidom, Kimberley [1 ]
Isberg, Vignir [1 ]
Hauser, Alexander S. [1 ]
Mordalski, Stefan [2 ,3 ]
Lehto, Thomas [1 ]
Bojarski, Andrzej J. [2 ]
Gloriam, David E. [1 ]
机构
[1] Univ Copenhagen, Fac Hlth & Med Sci, Dept Drug Design & Pharmacol, DK-1168 Copenhagen, Denmark
[2] Polish Acad Sci, Inst Pharmacol, Dept Med Chem, PL-00901 Warsaw, Poland
[3] Jagiellonian Univ, Fac Biochem Biophys & Biotechnol, Krakow, Poland
关键词
Pharmacophore; Virtual screening; Fragment-based drug design; G protein-coupled receptor; Drug discovery; HISTAMINE H-3 RECEPTOR; OPIOID RECEPTOR; GPCR; COMPLEX; AGONIST; ANTAGONISTS; ACTIVATION; DISCOVERY; LIGANDS; BINDING;
D O I
10.1016/j.ymeth.2014.09.009
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We have developed a new method for the building of pharmacophores for G protein-coupled receptors, a major drug target family. The method is a combination of the ligand- and target-based pharmacophore methods and founded on the extraction of structural fragments, interacting ligand moiety and receptor residue pairs, from crystal structure complexes. We describe the procedure to collect a library with more than 250 fragments covering 29 residue positions within the generic transmembrane binding pocket. We describe how the library fragments are recombined and inferred to build pharmacophores for new targets. A validating retrospective virtual screening of histamine H-1 and H-3 receptor pharmacophores yielded area-under-the-curves of 0.88 and 0.82, respectively. The fragment-based method has the unique advantage that it can be applied to targets for which no (homologous) crystal structures or ligands are known. 47% of the class A G protein-coupled receptors can be targeted with at least four-element pharmacophores. The fragment libraries can also be used to grow known ligands or for rotamer refinement of homology models. Researchers can download the complete fragment library or a subset matching their receptor of interest using our new tool in GPCRDB. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:104 / 112
页数:9
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