Cargando…

Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ

Telmisartan, a bifunctional agent of blood pressure lowering and glycemia reduction, was previously reported to antagonize angiotensin II type 1 (AT1) receptor and partially activate peroxisome proliferator-activated receptor γ (PPARγ) simultaneously. Through the modification to telmisartan, researc...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jun, Hao, Qing-Qing, Liu, Xin, Jing, Zhi, Jia, Wen-Qing, Wang, Shu-Qing, Xu, Wei-Ren, Cheng, Xian-Chao, Wang, Run-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421955/
https://www.ncbi.nlm.nih.gov/pubmed/28445965
http://dx.doi.org/10.18632/oncotarget.15778
_version_ 1783234689982529536
author Zhang, Jun
Hao, Qing-Qing
Liu, Xin
Jing, Zhi
Jia, Wen-Qing
Wang, Shu-Qing
Xu, Wei-Ren
Cheng, Xian-Chao
Wang, Run-Ling
author_facet Zhang, Jun
Hao, Qing-Qing
Liu, Xin
Jing, Zhi
Jia, Wen-Qing
Wang, Shu-Qing
Xu, Wei-Ren
Cheng, Xian-Chao
Wang, Run-Ling
author_sort Zhang, Jun
collection PubMed
description Telmisartan, a bifunctional agent of blood pressure lowering and glycemia reduction, was previously reported to antagonize angiotensin II type 1 (AT1) receptor and partially activate peroxisome proliferator-activated receptor γ (PPARγ) simultaneously. Through the modification to telmisartan, researchers designed and obtained imidazo-\pyridine derivatives with the IC(50)s of 0.49∼94.1 nM against AT1 and EC(50)s of 20∼3640 nM towards PPARγ partial activation. For minutely inquiring the interaction modes with the relevant receptor and analyzing the structure-activity relationships, molecular docking and 3D-QSAR (Quantitative structure-activity relationships) analysis of these imidazo-\pyridines on dual targets were conducted in this work. Docking approaches of these derivatives with both receptors provided explicit interaction behaviors and excellent matching degree with the binding pockets. The best CoMFA (Comparative Molecular Field Analysis) models exhibited predictive results of q(2)=0.553, r(2)=0.954, SEE=0.127, r(2)(pred)=0.779 for AT1 and q(2)=0.503, r(2)=1.00, SEE=0.019, r(2)(pred)=0.604 for PPARγ, respectively. The contour maps from the optimal model showed detailed information of structural features (steric and electrostatic fields) towards the biological activity. Combining the bioisosterism with the valuable information from above studies, we designed six molecules with better predicted activities towards AT1 and PPARγ partial activation. Overall, these results could be useful for designing potential dual AT1 antagonists and partial PPARγ agonists.
format Online
Article
Text
id pubmed-5421955
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-54219552017-05-10 Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ Zhang, Jun Hao, Qing-Qing Liu, Xin Jing, Zhi Jia, Wen-Qing Wang, Shu-Qing Xu, Wei-Ren Cheng, Xian-Chao Wang, Run-Ling Oncotarget Research Paper Telmisartan, a bifunctional agent of blood pressure lowering and glycemia reduction, was previously reported to antagonize angiotensin II type 1 (AT1) receptor and partially activate peroxisome proliferator-activated receptor γ (PPARγ) simultaneously. Through the modification to telmisartan, researchers designed and obtained imidazo-\pyridine derivatives with the IC(50)s of 0.49∼94.1 nM against AT1 and EC(50)s of 20∼3640 nM towards PPARγ partial activation. For minutely inquiring the interaction modes with the relevant receptor and analyzing the structure-activity relationships, molecular docking and 3D-QSAR (Quantitative structure-activity relationships) analysis of these imidazo-\pyridines on dual targets were conducted in this work. Docking approaches of these derivatives with both receptors provided explicit interaction behaviors and excellent matching degree with the binding pockets. The best CoMFA (Comparative Molecular Field Analysis) models exhibited predictive results of q(2)=0.553, r(2)=0.954, SEE=0.127, r(2)(pred)=0.779 for AT1 and q(2)=0.503, r(2)=1.00, SEE=0.019, r(2)(pred)=0.604 for PPARγ, respectively. The contour maps from the optimal model showed detailed information of structural features (steric and electrostatic fields) towards the biological activity. Combining the bioisosterism with the valuable information from above studies, we designed six molecules with better predicted activities towards AT1 and PPARγ partial activation. Overall, these results could be useful for designing potential dual AT1 antagonists and partial PPARγ agonists. Impact Journals LLC 2017-02-28 /pmc/articles/PMC5421955/ /pubmed/28445965 http://dx.doi.org/10.18632/oncotarget.15778 Text en Copyright: © 2017 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhang, Jun
Hao, Qing-Qing
Liu, Xin
Jing, Zhi
Jia, Wen-Qing
Wang, Shu-Qing
Xu, Wei-Ren
Cheng, Xian-Chao
Wang, Run-Ling
Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ
title Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ
title_full Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ
title_fullStr Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ
title_full_unstemmed Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ
title_short Molecular docking, 3D-QSAR and structural optimization on imidazo-pyridine derivatives dually targeting AT1 and PPARγ
title_sort molecular docking, 3d-qsar and structural optimization on imidazo-pyridine derivatives dually targeting at1 and pparγ
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421955/
https://www.ncbi.nlm.nih.gov/pubmed/28445965
http://dx.doi.org/10.18632/oncotarget.15778
work_keys_str_mv AT zhangjun moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT haoqingqing moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT liuxin moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT jingzhi moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT jiawenqing moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT wangshuqing moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT xuweiren moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT chengxianchao moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg
AT wangrunling moleculardocking3dqsarandstructuraloptimizationonimidazopyridinederivativesduallytargetingat1andpparg