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FoldGPCR: structure prediction protocol for the transmembrane domain of G protein-coupled receptors from class A.
- Source :
-
Proteins [Proteins] 2010 Aug 01; Vol. 78 (10), pp. 2189-201. - Publication Year :
- 2010
-
Abstract
- Building reliable structural models of G protein-coupled receptors (GPCRs) is a difficult task because of the paucity of suitable templates, low sequence identity, and the wide variety of ligand specificities within the superfamily. Template-based modeling is known to be the most successful method for protein structure prediction. However, refinement of homology models within 1-3 A C alpha RMSD of the native structure remains a major challenge. Here, we address this problem by developing a novel protocol (foldGPCR) for modeling the transmembrane (TM) region of GPCRs in complex with a ligand, aimed to accurately model the structural divergence between the template and target in the TM helices. The protocol is based on predicted conserved inter-residue contacts between the template and target, and exploits an all-atom implicit membrane force field. The placement of the ligand in the binding pocket is guided by biochemical data. The foldGPCR protocol is implemented by a stepwise hierarchical approach, in which the TM helical bundle and the ligand are assembled by simulated annealing trials in the first step, and the receptor-ligand complex is refined with replica exchange sampling in the second step. The protocol is applied to model the human beta(2)-adrenergic receptor (beta(2)AR) bound to carazolol, using contacts derived from the template structure of bovine rhodopsin. Comparison with the X-ray crystal structure of the beta(2)AR shows that our protocol is particularly successful in accurately capturing helix backbone irregularities and helix-helix packing interactions that distinguish rhodopsin from beta(2)AR.<br /> ((c) 2010 Wiley-Liss, Inc.)
- Subjects :
- Adrenergic beta-2 Receptor Antagonists
Adrenergic beta-Antagonists chemistry
Adrenergic beta-Antagonists metabolism
Animals
Binding Sites
Cattle
Computer Simulation
Humans
Ligands
Membrane Proteins chemistry
Membrane Proteins metabolism
Models, Molecular
Propanolamines chemistry
Propanolamines metabolism
Protein Structure, Secondary
Receptors, Adrenergic, beta-2 chemistry
Receptors, Adrenergic, beta-2 metabolism
Receptors, G-Protein-Coupled metabolism
Rhodopsin chemistry
Software
Temperature
Computational Biology
Expert Systems
Protein Interaction Domains and Motifs
Receptors, G-Protein-Coupled chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1097-0134
- Volume :
- 78
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Proteins
- Publication Type :
- Academic Journal
- Accession number :
- 20544957
- Full Text :
- https://doi.org/10.1002/prot.22731