Cargando…

Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations

Peroxisome proliferator activated receptor-α (PPAR-α) is a ligand-activated transcription factor which plays important roles in lipid and glucose metabolism. The aim of this work is to find residues which selectively recognize PPAR-α agonists and antagonists. To achieve this aim, PPAR-α/13M and PPAR...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Mengyuan, Wang, Lushan, Zhao, Xian, Sun, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057756/
https://www.ncbi.nlm.nih.gov/pubmed/24837836
http://dx.doi.org/10.3390/ijms15058743
_version_ 1782321026069168128
author Liu, Mengyuan
Wang, Lushan
Zhao, Xian
Sun, Xun
author_facet Liu, Mengyuan
Wang, Lushan
Zhao, Xian
Sun, Xun
author_sort Liu, Mengyuan
collection PubMed
description Peroxisome proliferator activated receptor-α (PPAR-α) is a ligand-activated transcription factor which plays important roles in lipid and glucose metabolism. The aim of this work is to find residues which selectively recognize PPAR-α agonists and antagonists. To achieve this aim, PPAR-α/13M and PPAR-α/471 complexes were subjected to perform molecular dynamics simulations. This research suggests that several key residues only participate in agonist recognition, while some other key residues only contribute to antagonist recognition. It is hoped that such work is useful for medicinal chemists to design novel PPAR-α agonists and antagonists.
format Online
Article
Text
id pubmed-4057756
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-40577562014-06-16 Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations Liu, Mengyuan Wang, Lushan Zhao, Xian Sun, Xun Int J Mol Sci Article Peroxisome proliferator activated receptor-α (PPAR-α) is a ligand-activated transcription factor which plays important roles in lipid and glucose metabolism. The aim of this work is to find residues which selectively recognize PPAR-α agonists and antagonists. To achieve this aim, PPAR-α/13M and PPAR-α/471 complexes were subjected to perform molecular dynamics simulations. This research suggests that several key residues only participate in agonist recognition, while some other key residues only contribute to antagonist recognition. It is hoped that such work is useful for medicinal chemists to design novel PPAR-α agonists and antagonists. Molecular Diversity Preservation International (MDPI) 2014-05-15 /pmc/articles/PMC4057756/ /pubmed/24837836 http://dx.doi.org/10.3390/ijms15058743 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Liu, Mengyuan
Wang, Lushan
Zhao, Xian
Sun, Xun
Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
title Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
title_full Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
title_fullStr Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
title_full_unstemmed Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
title_short Molecular Recognition of Agonist and Antagonist for Peroxisome Proliferator-Activated Receptor-α Studied by Molecular Dynamics Simulations
title_sort molecular recognition of agonist and antagonist for peroxisome proliferator-activated receptor-α studied by molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057756/
https://www.ncbi.nlm.nih.gov/pubmed/24837836
http://dx.doi.org/10.3390/ijms15058743
work_keys_str_mv AT liumengyuan molecularrecognitionofagonistandantagonistforperoxisomeproliferatoractivatedreceptorastudiedbymoleculardynamicssimulations
AT wanglushan molecularrecognitionofagonistandantagonistforperoxisomeproliferatoractivatedreceptorastudiedbymoleculardynamicssimulations
AT zhaoxian molecularrecognitionofagonistandantagonistforperoxisomeproliferatoractivatedreceptorastudiedbymoleculardynamicssimulations
AT sunxun molecularrecognitionofagonistandantagonistforperoxisomeproliferatoractivatedreceptorastudiedbymoleculardynamicssimulations