Volume 56, Issue 1 pp. 67-84
Research Article

Toward the active conformations of rhodopsin and the β2-adrenergic receptor

Paul R. Gouldson

Paul R. Gouldson

Deffinity Solutions Ltd., Hampshire, United Kingdom

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Nathan J. Kidley

Nathan J. Kidley

Department of Biological Sciences, University of Essex, Colchester, Essex, United Kingdom

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Robert P. Bywater

Robert P. Bywater

Novo Nordisk A/S, Måløv, Denmark

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Georgios Psaroudakis

Georgios Psaroudakis

Department of Biological Sciences, University of Essex, Colchester, Essex, United Kingdom

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Harry D. Brooks

Harry D. Brooks

Department of Biological Sciences, University of Essex, Colchester, Essex, United Kingdom

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Constantino Diaz

Constantino Diaz

Sanofi-Synthelabo Recherche, Centre de Labège, Labège, France

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David Shire

David Shire

Sanofi-Synthelabo Recherche, Centre de Labège, Labège, France

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Christopher A. Reynolds

Corresponding Author

Christopher A. Reynolds

Department of Biological Sciences, University of Essex, Colchester, Essex, United Kingdom

Department of Biological Sciences, University of Essex, Colchester, Essex, CO4 3SQ, UK===Search for more papers by this author
First published: 16 April 2004
Citations: 68

Abstract

Using sets of experimental distance restraints, which characterize active or inactive receptor conformations, and the X-ray crystal structure of the inactive form of bovine rhodopsin as a starting point, we have constructed models of both the active and inactive forms of rhodopsin and the β2-adrenergic G-protein coupled receptors (GPCRs). The distance restraints were obtained from published data for site-directed crosslinking, engineered zinc binding, site-directed spin-labeling, IR spectroscopy, and cysteine accessibility studies conducted on class A GPCRs. Molecular dynamics simulations in the presence of either “active” or “inactive” restraints were used to generate two distinguishable receptor models. The process for generating the inactive and active models was validated by the hit rates, yields, and enrichment factors determined for the selection of antagonists in the inactive model and for the selection of agonists in the active model from a set of nonadrenergic GPCR drug-like ligands in a virtual screen using ligand docking software. The simulation results provide new insights into the relationships observed between selected biochemical data, the crystal structure of rhodopsin, and the structural rearrangements that occur during activation. Proteins 2004. © 2004 Wiley-Liss, Inc.

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