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Beyond Modeling: All-Atom Olfactory Receptor Model Simulations

Olfactory receptors (ORs) are a type of GTP-binding protein-coupled receptor (GPCR). These receptors are responsible for mediating the sense of smell through their interaction with odor ligands. OR-odorant interactions marks the first step in the process that leads to olfaction. Computational studie...

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Detalles Bibliográficos
Autores principales: Lai, Peter C., Crasto, Chiquito J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342527/
https://www.ncbi.nlm.nih.gov/pubmed/22563330
http://dx.doi.org/10.3389/fgene.2012.00061
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author Lai, Peter C.
Crasto, Chiquito J.
author_facet Lai, Peter C.
Crasto, Chiquito J.
author_sort Lai, Peter C.
collection PubMed
description Olfactory receptors (ORs) are a type of GTP-binding protein-coupled receptor (GPCR). These receptors are responsible for mediating the sense of smell through their interaction with odor ligands. OR-odorant interactions marks the first step in the process that leads to olfaction. Computational studies on model OR structures can generate focused and novel hypotheses for further bench investigation by providing a view of these interactions at the molecular level beyond inferences that are drawn merely from static docking. Here we have shown the specific advantages of simulating the dynamic environment associated with OR-odorant interactions. We present a rigorous protocol which ranges from the creation of a computationally derived model of an olfactory receptor to simulating the interactions between an OR and an odorant molecule. Given the ubiquitous occurrence of GPCRs in the membranes of cells, we anticipate that our OR-developed methodology will serve as a model for the computational structural biology of all GPCRs.
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spelling pubmed-33425272012-05-04 Beyond Modeling: All-Atom Olfactory Receptor Model Simulations Lai, Peter C. Crasto, Chiquito J. Front Genet Genetics Olfactory receptors (ORs) are a type of GTP-binding protein-coupled receptor (GPCR). These receptors are responsible for mediating the sense of smell through their interaction with odor ligands. OR-odorant interactions marks the first step in the process that leads to olfaction. Computational studies on model OR structures can generate focused and novel hypotheses for further bench investigation by providing a view of these interactions at the molecular level beyond inferences that are drawn merely from static docking. Here we have shown the specific advantages of simulating the dynamic environment associated with OR-odorant interactions. We present a rigorous protocol which ranges from the creation of a computationally derived model of an olfactory receptor to simulating the interactions between an OR and an odorant molecule. Given the ubiquitous occurrence of GPCRs in the membranes of cells, we anticipate that our OR-developed methodology will serve as a model for the computational structural biology of all GPCRs. Frontiers Research Foundation 2012-05-03 /pmc/articles/PMC3342527/ /pubmed/22563330 http://dx.doi.org/10.3389/fgene.2012.00061 Text en Copyright © 2012 Lai and Crasto. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Genetics
Lai, Peter C.
Crasto, Chiquito J.
Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
title Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
title_full Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
title_fullStr Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
title_full_unstemmed Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
title_short Beyond Modeling: All-Atom Olfactory Receptor Model Simulations
title_sort beyond modeling: all-atom olfactory receptor model simulations
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342527/
https://www.ncbi.nlm.nih.gov/pubmed/22563330
http://dx.doi.org/10.3389/fgene.2012.00061
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