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Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies

Peroxisome proliferator-activated receptor gamma (PPARγ) is a potential target for the treatment of several disorders. In view of several FDA approved kinase inhibitors, in the current study, we have investigated the interaction of selected kinase inhibitors with PPARγ using computational modeling,...

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Autores principales: Mazumder, Mohit, Ponnan, Prija, Das, Umashankar, Gourinath, Samudrala, Khan, Haseeb Ahmad, Yang, Jian, Sakharkar, Meena Kishore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340984/
https://www.ncbi.nlm.nih.gov/pubmed/28321247
http://dx.doi.org/10.1155/2017/6397836
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author Mazumder, Mohit
Ponnan, Prija
Das, Umashankar
Gourinath, Samudrala
Khan, Haseeb Ahmad
Yang, Jian
Sakharkar, Meena Kishore
author_facet Mazumder, Mohit
Ponnan, Prija
Das, Umashankar
Gourinath, Samudrala
Khan, Haseeb Ahmad
Yang, Jian
Sakharkar, Meena Kishore
author_sort Mazumder, Mohit
collection PubMed
description Peroxisome proliferator-activated receptor gamma (PPARγ) is a potential target for the treatment of several disorders. In view of several FDA approved kinase inhibitors, in the current study, we have investigated the interaction of selected kinase inhibitors with PPARγ using computational modeling, docking, and molecular dynamics simulations (MDS). The docked conformations and MDS studies suggest that the selected KIs interact with PPARγ in the ligand binding domain (LBD) with high positive predictive values. Hence, we have for the first time shown the plausible binding of KIs in the PPARγ ligand binding site. The results obtained from these in silico investigations warrant further evaluation of kinase inhibitors as PPARγ ligands in vitro and in vivo.
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spelling pubmed-53409842017-03-20 Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies Mazumder, Mohit Ponnan, Prija Das, Umashankar Gourinath, Samudrala Khan, Haseeb Ahmad Yang, Jian Sakharkar, Meena Kishore PPAR Res Research Article Peroxisome proliferator-activated receptor gamma (PPARγ) is a potential target for the treatment of several disorders. In view of several FDA approved kinase inhibitors, in the current study, we have investigated the interaction of selected kinase inhibitors with PPARγ using computational modeling, docking, and molecular dynamics simulations (MDS). The docked conformations and MDS studies suggest that the selected KIs interact with PPARγ in the ligand binding domain (LBD) with high positive predictive values. Hence, we have for the first time shown the plausible binding of KIs in the PPARγ ligand binding site. The results obtained from these in silico investigations warrant further evaluation of kinase inhibitors as PPARγ ligands in vitro and in vivo. Hindawi Publishing Corporation 2017 2017-02-22 /pmc/articles/PMC5340984/ /pubmed/28321247 http://dx.doi.org/10.1155/2017/6397836 Text en Copyright © 2017 Mohit Mazumder et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mazumder, Mohit
Ponnan, Prija
Das, Umashankar
Gourinath, Samudrala
Khan, Haseeb Ahmad
Yang, Jian
Sakharkar, Meena Kishore
Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies
title Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies
title_full Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies
title_fullStr Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies
title_full_unstemmed Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies
title_short Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies
title_sort investigations on binding pattern of kinase inhibitors with pparγ: molecular docking, molecular dynamic simulations, and free energy calculation studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340984/
https://www.ncbi.nlm.nih.gov/pubmed/28321247
http://dx.doi.org/10.1155/2017/6397836
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