Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach

© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this work, molecular docking, pharmacophore modeling and molecular dynamics (MD) simulation were rendered for the mouse P-glycoprotein (P-gp) (code: 4Q9H) and bioflavonoids; amorphigenin, chrysin, epigallocatechin, formononetin a...

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Main Authors: Pathomwat Wongrattanakamon, Vannajan Sanghiran Lee, Piyarat Nimmanpipug, Busaban Sirithunyalug, Sunee Chansakaow, Supat Jiranusornkul
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/46913
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-469132018-04-25T07:24:29Z Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach Pathomwat Wongrattanakamon Vannajan Sanghiran Lee Piyarat Nimmanpipug Busaban Sirithunyalug Sunee Chansakaow Supat Jiranusornkul Agricultural and Biological Sciences © 2017 Informa UK Limited, trading as Taylor & Francis Group. In this work, molecular docking, pharmacophore modeling and molecular dynamics (MD) simulation were rendered for the mouse P-glycoprotein (P-gp) (code: 4Q9H) and bioflavonoids; amorphigenin, chrysin, epigallocatechin, formononetin and rotenone including a positive control; verapamil to identify protein–ligand interaction features including binding affinities, interaction characteristics, hot-spot amino acid residues and complex stabilities. These flavonoids occupied the same binding site with high binding affinities and shared the same key residues for their binding interactions and the binding region of the flavonoids was revealed that overlapped the ATP binding region with hydrophobic and hydrophilic interactions suggesting a competitive inhibition mechanism of the compounds. Root mean square deviations (RMSDs) analysis of MD trajectories of the protein–ligand complexes and NBD2 residues, and ligands pointed out these residues were stable throughout the duration of MD simulations. Thus, the applied preliminary structure-based molecular modeling approach of interactions between NBD2 and flavonoids may be gainful to realize the intimate inhibition mechanism of P-gp at NBD2 level and on the basis of the obtained data, it can be concluded that these bioflavonoids have the potential to cause herb–drug interactions or be used as lead molecules for the inhibition of P-gp (as anti-multidrug resistance agents) via the NBD2 blocking mechanism in future. 2018-04-25T07:04:45Z 2018-04-25T07:04:45Z 2017-05-04 Journal 15376524 15376516 2-s2.0-85013074771 10.1080/15376516.2016.1273428 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85013074771&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46913
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Pathomwat Wongrattanakamon
Vannajan Sanghiran Lee
Piyarat Nimmanpipug
Busaban Sirithunyalug
Sunee Chansakaow
Supat Jiranusornkul
Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
description © 2017 Informa UK Limited, trading as Taylor & Francis Group. In this work, molecular docking, pharmacophore modeling and molecular dynamics (MD) simulation were rendered for the mouse P-glycoprotein (P-gp) (code: 4Q9H) and bioflavonoids; amorphigenin, chrysin, epigallocatechin, formononetin and rotenone including a positive control; verapamil to identify protein–ligand interaction features including binding affinities, interaction characteristics, hot-spot amino acid residues and complex stabilities. These flavonoids occupied the same binding site with high binding affinities and shared the same key residues for their binding interactions and the binding region of the flavonoids was revealed that overlapped the ATP binding region with hydrophobic and hydrophilic interactions suggesting a competitive inhibition mechanism of the compounds. Root mean square deviations (RMSDs) analysis of MD trajectories of the protein–ligand complexes and NBD2 residues, and ligands pointed out these residues were stable throughout the duration of MD simulations. Thus, the applied preliminary structure-based molecular modeling approach of interactions between NBD2 and flavonoids may be gainful to realize the intimate inhibition mechanism of P-gp at NBD2 level and on the basis of the obtained data, it can be concluded that these bioflavonoids have the potential to cause herb–drug interactions or be used as lead molecules for the inhibition of P-gp (as anti-multidrug resistance agents) via the NBD2 blocking mechanism in future.
format Journal
author Pathomwat Wongrattanakamon
Vannajan Sanghiran Lee
Piyarat Nimmanpipug
Busaban Sirithunyalug
Sunee Chansakaow
Supat Jiranusornkul
author_facet Pathomwat Wongrattanakamon
Vannajan Sanghiran Lee
Piyarat Nimmanpipug
Busaban Sirithunyalug
Sunee Chansakaow
Supat Jiranusornkul
author_sort Pathomwat Wongrattanakamon
title Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
title_short Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
title_full Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
title_fullStr Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
title_full_unstemmed Insight into the molecular mechanism of P-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
title_sort insight into the molecular mechanism of p-glycoprotein mediated drug toxicity induced by bioflavonoids: an integrated computational approach
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85013074771&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/46913
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