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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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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