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Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling
A combined modeling approach was used to identify structural factors that underlie the structure–activity relationships (SARs) of full dopamine D(2) receptor agonists and structurally similar inactive compounds. A 3D structural model of the dopamine D(2) receptor was constructed, with the agonist (−...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
WILEY-VCH Verlag
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382189/ https://www.ncbi.nlm.nih.gov/pubmed/22315215 http://dx.doi.org/10.1002/cmdc.201100545 |
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author | Malo, Marcus Brive, Lars Luthman, Kristina Svensson, Peder |
author_facet | Malo, Marcus Brive, Lars Luthman, Kristina Svensson, Peder |
author_sort | Malo, Marcus |
collection | PubMed |
description | A combined modeling approach was used to identify structural factors that underlie the structure–activity relationships (SARs) of full dopamine D(2) receptor agonists and structurally similar inactive compounds. A 3D structural model of the dopamine D(2) receptor was constructed, with the agonist (−)-(R)-2-OH-NPA present in the binding site during the modeling procedure. The 3D model was evaluated and compared with our previously published D(2) agonist pharmacophore model. The comparison revealed an inconsistency between the projected hydrogen bonding feature (Ser-TM5) in the pharmacophore model and the TM5 region in the structure model. A new refined pharmacophore model was developed, guided by the shape of the binding site in the receptor model and with less emphasis on TM5 interactions. The combination of receptor and pharmacophore modeling also identified the importance of His393(6.55) for agonist binding. This convergent 3D pharmacophore and protein structure modeling strategy is considered to be general and can be highly useful in less well-characterized systems to explore ligand–receptor interactions. The strategy has the potential to identify weaknesses in the individual models and thereby provides an opportunity to improve the discriminating predictivity of both pharmacophore searches and structure-based virtual screens. |
format | Online Article Text |
id | pubmed-3382189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | WILEY-VCH Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-33821892012-06-27 Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling Malo, Marcus Brive, Lars Luthman, Kristina Svensson, Peder ChemMedChem Full Papers A combined modeling approach was used to identify structural factors that underlie the structure–activity relationships (SARs) of full dopamine D(2) receptor agonists and structurally similar inactive compounds. A 3D structural model of the dopamine D(2) receptor was constructed, with the agonist (−)-(R)-2-OH-NPA present in the binding site during the modeling procedure. The 3D model was evaluated and compared with our previously published D(2) agonist pharmacophore model. The comparison revealed an inconsistency between the projected hydrogen bonding feature (Ser-TM5) in the pharmacophore model and the TM5 region in the structure model. A new refined pharmacophore model was developed, guided by the shape of the binding site in the receptor model and with less emphasis on TM5 interactions. The combination of receptor and pharmacophore modeling also identified the importance of His393(6.55) for agonist binding. This convergent 3D pharmacophore and protein structure modeling strategy is considered to be general and can be highly useful in less well-characterized systems to explore ligand–receptor interactions. The strategy has the potential to identify weaknesses in the individual models and thereby provides an opportunity to improve the discriminating predictivity of both pharmacophore searches and structure-based virtual screens. WILEY-VCH Verlag 2012-03-05 2012-02-07 /pmc/articles/PMC3382189/ /pubmed/22315215 http://dx.doi.org/10.1002/cmdc.201100545 Text en Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Full Papers Malo, Marcus Brive, Lars Luthman, Kristina Svensson, Peder Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling |
title | Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling |
title_full | Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling |
title_fullStr | Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling |
title_full_unstemmed | Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling |
title_short | Investigation of D(2) Receptor–Agonist Interactions Using a Combination of Pharmacophore and Receptor Homology Modeling |
title_sort | investigation of d(2) receptor–agonist interactions using a combination of pharmacophore and receptor homology modeling |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3382189/ https://www.ncbi.nlm.nih.gov/pubmed/22315215 http://dx.doi.org/10.1002/cmdc.201100545 |
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