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Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method
Melanin concentrating hormone receptor 1 (MCHR1), a crucial regulator of energy homeostasis involved in the control of feeding and energy metabolism, is a promising target for treatment of obesity. In the present work, the up-to-date largest set of 181 quinoline/quinazoline derivatives as MCHR1 anta...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4200842/ https://www.ncbi.nlm.nih.gov/pubmed/25257526 http://dx.doi.org/10.3390/ijms150915475 |
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author | Wu, Mingwei Li, Yan Fu, Xinmei Wang, Jinghui Zhang, Shuwei Yang, Ling |
author_facet | Wu, Mingwei Li, Yan Fu, Xinmei Wang, Jinghui Zhang, Shuwei Yang, Ling |
author_sort | Wu, Mingwei |
collection | PubMed |
description | Melanin concentrating hormone receptor 1 (MCHR1), a crucial regulator of energy homeostasis involved in the control of feeding and energy metabolism, is a promising target for treatment of obesity. In the present work, the up-to-date largest set of 181 quinoline/quinazoline derivatives as MCHR1 antagonists was subjected to both ligand- and receptor-based three-dimensional quantitative structure–activity (3D-QSAR) analysis applying comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The optimal predictable CoMSIA model exhibited significant validity with the cross-validated correlation coefficient (Q(2)) = 0.509, non-cross-validated correlation coefficient (R(2)(ncv)) = 0.841 and the predicted correlation coefficient (R(2)(pre)(d)) = 0.745. In addition, docking studies and molecular dynamics (MD) simulations were carried out for further elucidation of the binding modes of MCHR1 antagonists. MD simulations in both water and lipid bilayer systems were performed. We hope that the obtained models and information may help to provide an insight into the interaction mechanism of MCHR1 antagonists and facilitate the design and optimization of novel antagonists as anti-obesity agents. |
format | Online Article Text |
id | pubmed-4200842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42008422014-10-17 Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method Wu, Mingwei Li, Yan Fu, Xinmei Wang, Jinghui Zhang, Shuwei Yang, Ling Int J Mol Sci Article Melanin concentrating hormone receptor 1 (MCHR1), a crucial regulator of energy homeostasis involved in the control of feeding and energy metabolism, is a promising target for treatment of obesity. In the present work, the up-to-date largest set of 181 quinoline/quinazoline derivatives as MCHR1 antagonists was subjected to both ligand- and receptor-based three-dimensional quantitative structure–activity (3D-QSAR) analysis applying comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The optimal predictable CoMSIA model exhibited significant validity with the cross-validated correlation coefficient (Q(2)) = 0.509, non-cross-validated correlation coefficient (R(2)(ncv)) = 0.841 and the predicted correlation coefficient (R(2)(pre)(d)) = 0.745. In addition, docking studies and molecular dynamics (MD) simulations were carried out for further elucidation of the binding modes of MCHR1 antagonists. MD simulations in both water and lipid bilayer systems were performed. We hope that the obtained models and information may help to provide an insight into the interaction mechanism of MCHR1 antagonists and facilitate the design and optimization of novel antagonists as anti-obesity agents. MDPI 2014-09-01 /pmc/articles/PMC4200842/ /pubmed/25257526 http://dx.doi.org/10.3390/ijms150915475 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. 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 Wu, Mingwei Li, Yan Fu, Xinmei Wang, Jinghui Zhang, Shuwei Yang, Ling Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method |
title | Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method |
title_full | Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method |
title_fullStr | Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method |
title_full_unstemmed | Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method |
title_short | Profiling the Interaction Mechanism of Quinoline/Quinazoline Derivatives as MCHR1 Antagonists: An in Silico Method |
title_sort | profiling the interaction mechanism of quinoline/quinazoline derivatives as mchr1 antagonists: an in silico method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4200842/ https://www.ncbi.nlm.nih.gov/pubmed/25257526 http://dx.doi.org/10.3390/ijms150915475 |
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