Modeling the Active Conformation of Human μ Opioid Receptor

ISSN: 1875-628X (Online)
ISSN: 1570-1808 (Print)

Volume 11, 10 Issues, 2014

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Letters in Drug Design & Discovery

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Atta-ur-Rahman, FRS
Honorary Life Fellow
Kings College
University of Cambridge

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Modeling the Active Conformation of Human μ Opioid Receptor

Author(s): Agnieszka A. Kaczor, Damian Bartuzi and Dariusz Matosiuk

Affiliation: School of Pharmacy University of Eastern Finland Yliopistonranta 1 P.O. Box 1627, FI-70211 Kuopio Finland.


G protein-coupled receptors (GPCRs) family, including opioid receptors, constitute one of the most important group of drug targets. Chance for successful drug design for GPCRs can be increased by the availability of 3D structures of these proteins in their inactive (to bind antagonists) or active (to bind agonists) conformation. However, to date only few X-ray structures of GPCR-agonist complexes are known. The presented study aims to investigate the usage of single and multiple templates approach for homology modeling of the μ opioid receptor in its active conformation. The models are first assessed regarding their stereochemical and geometric correctness. Next, docking of two MOR agonists makes it possible to find the model with the most favourable conformation of binding site side chains. The study indicates that careful choice of templates and their proper alignment are particularly important in multi-template homology modeling, and that models based on a single template can be comparatively good as models based on multiple templates. Furthermore, it proves that use of only one template or template set may not be enough for obtaining the best possible homology model, and that building a set of models based on different template sets with subsequent comparative analysis can be beneficial approach. In particular, such a strategy can be useful to construct a model in a particular activation state or to reproduce ligand-specific rearrangement pattern, when supported with experimental data.

Keywords: GPCR activation, GPCRs, GPCRs, homology modeling, molecular docking, opioid receptors

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Article Details

Volume: 11
First Page: 1
Last Page: 9
Page Count: 9
DOI: 10.2174/1570180811666140322001506

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