Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
نویسندگان
چکیده
Understanding how ligands bind to G-protein coupled receptors (GPCRs) provides insights into a myriad of cell processes and is crucial for drug development. Here we extend a hybrid molecular mechanics/coarse-grained (MM/CG) approach applied previously to enzymes to GPCR/ligand complexes. The accuracy of this method for structural predictions is established by comparison with recent atomistic molecular dynamics simulations on the human β2 adrenergic receptor, a member of the GPCRs superfamily. The results obtained with the MM/CG methodology show a good agreement with previous all-atom classical dynamics simulations, in particular in the structural description of the ligand binding site. This approach could be used for high-throughput predictions of ligand poses in a variety of GPCRs.
منابع مشابه
Molecular Mechanics/Coarse-grain simulations as a structural prediction tool for GPCRs/ligand complexes
G-protein coupled receptors (GPCRs) are the most common family of transmembrane receptors in humans. Bioinformatics-based approaches have provided accurate structural predictions of these proteins in complex with their agonist/antagonists when reliable template could be identified. Unfortunately, the average sequence identity across GPCR’s is in the majority of cases below 20%. In these cases, ...
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عنوان ژورنال:
دوره 7 شماره
صفحات -
تاریخ انتشار 2012