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Homology Modeling of Dopamine D(2) and D(3) 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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435408/ https://www.ncbi.nlm.nih.gov/pubmed/22970199 http://dx.doi.org/10.1371/journal.pone.0044316 |
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author | Platania, Chiara Bianca Maria Salomone, Salvatore Leggio, Gian Marco Drago, Filippo Bucolo, Claudio |
author_facet | Platania, Chiara Bianca Maria Salomone, Salvatore Leggio, Gian Marco Drago, Filippo Bucolo, Claudio |
author_sort | Platania, Chiara Bianca Maria |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-3435408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34354082012-09-11 Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation Platania, Chiara Bianca Maria Salomone, Salvatore Leggio, Gian Marco Drago, Filippo Bucolo, Claudio PLoS One Research Article 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. Public Library of Science 2012-09-06 /pmc/articles/PMC3435408/ /pubmed/22970199 http://dx.doi.org/10.1371/journal.pone.0044316 Text en © 2012 Platania et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Platania, Chiara Bianca Maria Salomone, Salvatore Leggio, Gian Marco Drago, Filippo Bucolo, Claudio Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation |
title | Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation |
title_full | Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation |
title_fullStr | Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation |
title_full_unstemmed | Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation |
title_short | Homology Modeling of Dopamine D(2) and D(3) Receptors: Molecular Dynamics Refinement and Docking Evaluation |
title_sort | homology modeling of dopamine d(2) and d(3) receptors: molecular dynamics refinement and docking evaluation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435408/ https://www.ncbi.nlm.nih.gov/pubmed/22970199 http://dx.doi.org/10.1371/journal.pone.0044316 |
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