Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.

Dopamine (DA) receptors, a class of G-protein coupled receptors (GPCRs), have been targeted for drug development for the treatment of neurological, psychiatric and ocular disorders. The lack of structural information about GPCRs and their ligand complexes has prompted the development of homology mod...

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Main Authors: Chiara Bianca Maria Platania, Salvatore Salomone, Gian Marco Leggio, Filippo Drago, Claudio Bucolo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3435408?pdf=render
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spelling doaj-67c8fa221ae849078f820b39729774872020-11-25T02:57:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0179e4431610.1371/journal.pone.0044316Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.Chiara Bianca Maria PlataniaSalvatore SalomoneGian Marco LeggioGian Marco LeggioFilippo DragoClaudio BucoloDopamine (DA) receptors, a class of G-protein coupled receptors (GPCRs), have been targeted for drug development for the treatment of neurological, psychiatric and ocular disorders. The lack of structural information about GPCRs and their ligand complexes has prompted the development of homology models of these proteins aimed at structure-based drug design. Crystal structure of human dopamine D(3) (hD(3)) receptor has been recently solved. Based on the hD(3) receptor crystal structure we generated dopamine D(2) and D(3) receptor models and refined them with molecular dynamics (MD) protocol. Refined structures, obtained from the MD simulations in membrane environment, were subsequently used in molecular docking studies in order to investigate potential sites of interaction. The structure of hD(3) and hD(2L) receptors was differentiated by means of MD simulations and D(3) selective ligands were discriminated, in terms of binding energy, by docking calculation. Robust correlation of computed and experimental K(i) was obtained for hD(3) and hD(2L) receptor ligands. In conclusion, the present computational approach seems suitable to build and refine structure models of homologous dopamine receptors that may be of value for structure-based drug discovery of selective dopaminergic ligands.http://europepmc.org/articles/PMC3435408?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Chiara Bianca Maria Platania
Salvatore Salomone
Gian Marco Leggio
Gian Marco Leggio
Filippo Drago
Claudio Bucolo
spellingShingle Chiara Bianca Maria Platania
Salvatore Salomone
Gian Marco Leggio
Gian Marco Leggio
Filippo Drago
Claudio Bucolo
Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.
PLoS ONE
author_facet Chiara Bianca Maria Platania
Salvatore Salomone
Gian Marco Leggio
Gian Marco Leggio
Filippo Drago
Claudio Bucolo
author_sort Chiara Bianca Maria Platania
title Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.
title_short Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.
title_full Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.
title_fullStr Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.
title_full_unstemmed Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.
title_sort homology modeling of dopamine d2 and d3 receptors: molecular dynamics refinement and docking evaluation.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description Dopamine (DA) receptors, a class of G-protein coupled receptors (GPCRs), have been targeted for drug development for the treatment of neurological, psychiatric and ocular disorders. The lack of structural information about GPCRs and their ligand complexes has prompted the development of homology models of these proteins aimed at structure-based drug design. Crystal structure of human dopamine D(3) (hD(3)) receptor has been recently solved. Based on the hD(3) receptor crystal structure we generated dopamine D(2) and D(3) receptor models and refined them with molecular dynamics (MD) protocol. Refined structures, obtained from the MD simulations in membrane environment, were subsequently used in molecular docking studies in order to investigate potential sites of interaction. The structure of hD(3) and hD(2L) receptors was differentiated by means of MD simulations and D(3) selective ligands were discriminated, in terms of binding energy, by docking calculation. Robust correlation of computed and experimental K(i) was obtained for hD(3) and hD(2L) receptor ligands. In conclusion, the present computational approach seems suitable to build and refine structure models of homologous dopamine receptors that may be of value for structure-based drug discovery of selective dopaminergic ligands.
url http://europepmc.org/articles/PMC3435408?pdf=render
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