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Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods

As a G-protein coupled receptor, the 5-hydroxytryptamine 2A (5-HT(2A)) receptor is known for its critical role in the cognitive, behavioural and physiological functions, and thus is a primary molecular target to treat psychiatric diseases, including especially depression. With purpose to explore the...

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Autores principales: Lin, Feng, Li, Feng, Wang, Chao, Wang, Jinghui, Yang, Yinfeng, Yang, Ling, Li, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152085/
https://www.ncbi.nlm.nih.gov/pubmed/28672848
http://dx.doi.org/10.3390/molecules22071064
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author Lin, Feng
Li, Feng
Wang, Chao
Wang, Jinghui
Yang, Yinfeng
Yang, Ling
Li, Yan
author_facet Lin, Feng
Li, Feng
Wang, Chao
Wang, Jinghui
Yang, Yinfeng
Yang, Ling
Li, Yan
author_sort Lin, Feng
collection PubMed
description As a G-protein coupled receptor, the 5-hydroxytryptamine 2A (5-HT(2A)) receptor is known for its critical role in the cognitive, behavioural and physiological functions, and thus is a primary molecular target to treat psychiatric diseases, including especially depression. With purpose to explore the structural traits affecting the inhibitory activity, currently a dataset of 109 arylpiperazine derivatives as promising 5-HT(2A) antagonists was built, based on which the ligand-based three-dimensional quantitative structure-activity relationship (3D-QSAR) study by using both comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) approaches was carried out. The resultant optimal CoMSIA model displays proper validity and predictability with cross-validated correlation coefficient Q(2) = 0.587, non-cross-validated correlation coefficient R(2)(ncv) = 0.900 and predicted correlation coefficient for the test set of compounds R(2)(pre) = 0.897, respectively. Besides, molecular docking was also conducted to investigate the binding mode between these ligands and the active site of the 5-HT(2A) receptor. Meanwhile, as a docking supplementary tool to study the antagonists’ conformation in the binding cavity, molecular dynamics (MD) simulation was also performed, providing further elucidation about the changes in the ligand-receptor complex. Lastly, some new molecules were also newly-designed based on the above results that are potential arylpiperazine antagonists of 5-HT(2A) receptor. We hope that the present models and derived information may be of help for facilitating the optimization and design of novel potent antagonists as antidepressant drugs as well as exploring the interaction mechanism of 5-HT(2A) antagonists.
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spelling pubmed-61520852018-11-13 Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods Lin, Feng Li, Feng Wang, Chao Wang, Jinghui Yang, Yinfeng Yang, Ling Li, Yan Molecules Article As a G-protein coupled receptor, the 5-hydroxytryptamine 2A (5-HT(2A)) receptor is known for its critical role in the cognitive, behavioural and physiological functions, and thus is a primary molecular target to treat psychiatric diseases, including especially depression. With purpose to explore the structural traits affecting the inhibitory activity, currently a dataset of 109 arylpiperazine derivatives as promising 5-HT(2A) antagonists was built, based on which the ligand-based three-dimensional quantitative structure-activity relationship (3D-QSAR) study by using both comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) approaches was carried out. The resultant optimal CoMSIA model displays proper validity and predictability with cross-validated correlation coefficient Q(2) = 0.587, non-cross-validated correlation coefficient R(2)(ncv) = 0.900 and predicted correlation coefficient for the test set of compounds R(2)(pre) = 0.897, respectively. Besides, molecular docking was also conducted to investigate the binding mode between these ligands and the active site of the 5-HT(2A) receptor. Meanwhile, as a docking supplementary tool to study the antagonists’ conformation in the binding cavity, molecular dynamics (MD) simulation was also performed, providing further elucidation about the changes in the ligand-receptor complex. Lastly, some new molecules were also newly-designed based on the above results that are potential arylpiperazine antagonists of 5-HT(2A) receptor. We hope that the present models and derived information may be of help for facilitating the optimization and design of novel potent antagonists as antidepressant drugs as well as exploring the interaction mechanism of 5-HT(2A) antagonists. MDPI 2017-06-26 /pmc/articles/PMC6152085/ /pubmed/28672848 http://dx.doi.org/10.3390/molecules22071064 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Feng
Li, Feng
Wang, Chao
Wang, Jinghui
Yang, Yinfeng
Yang, Ling
Li, Yan
Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods
title Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods
title_full Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods
title_fullStr Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods
title_full_unstemmed Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods
title_short Mechanism Exploration of Arylpiperazine Derivatives Targeting the 5-HT(2A) Receptor by In Silico Methods
title_sort mechanism exploration of arylpiperazine derivatives targeting the 5-ht(2a) receptor by in silico methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152085/
https://www.ncbi.nlm.nih.gov/pubmed/28672848
http://dx.doi.org/10.3390/molecules22071064
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