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Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach

ABSTRACT: In this study, a set of dietary polyphenols was comprehensively studied for the selective identification of the potential inhibitors/modulators for galectin-1. Galectin-1 is a potent prognostic indicator of tumor progression and a highly regarded therapeutic target for various pathological...

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Autores principales: Bhowmick, Shovonlal, Saha, Achintya, AlFaris, Nora Abdullah, ALTamimi, Jozaa Zaidan, ALOthman, Zeid A., Aldayel, Tahany Saleh, Wabaidur, Saikh Mohammad, Islam, Md Ataul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209356/
https://www.ncbi.nlm.nih.gov/pubmed/34482478
http://dx.doi.org/10.1007/s11030-021-10297-1
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author Bhowmick, Shovonlal
Saha, Achintya
AlFaris, Nora Abdullah
ALTamimi, Jozaa Zaidan
ALOthman, Zeid A.
Aldayel, Tahany Saleh
Wabaidur, Saikh Mohammad
Islam, Md Ataul
author_facet Bhowmick, Shovonlal
Saha, Achintya
AlFaris, Nora Abdullah
ALTamimi, Jozaa Zaidan
ALOthman, Zeid A.
Aldayel, Tahany Saleh
Wabaidur, Saikh Mohammad
Islam, Md Ataul
author_sort Bhowmick, Shovonlal
collection PubMed
description ABSTRACT: In this study, a set of dietary polyphenols was comprehensively studied for the selective identification of the potential inhibitors/modulators for galectin-1. Galectin-1 is a potent prognostic indicator of tumor progression and a highly regarded therapeutic target for various pathological conditions. This indicator is composed of a highly conserved carbohydrate recognition domain (CRD) that accounts for the binding affinity of β-galactosides. Although some small molecules have been identified as galectin-1 inhibitors/modulators, there are limited studies on the identification of novel compounds against this attractive therapeutic target. The extensive computational techniques include potential drug binding site recognition on galectin-1, binding affinity predictions of ~ 500 polyphenols, molecular docking, and dynamic simulations of galectin-1 with selective dietary polyphenol modulators, followed by the estimation of binding free energy for the identification of dietary polyphenol-based galectin-1 modulators. Initially, a deep neural network-based algorithm was utilized for the prediction of the druggable binding site and binding affinity. Thereafter, the intermolecular interactions of the polyphenol compounds with galectin-1 were critically explored through the extra-precision docking technique. Further, the stability of the interaction was evaluated through the conventional atomistic 100 ns dynamic simulation study. The docking analyses indicated the high interaction affinity of different amino acids at the CRD region of galectin-1 with the proposed five polyphenols. Strong and consistent interaction stability was suggested from the simulation trajectories of the selected dietary polyphenol under the dynamic conditions. Also, the conserved residue (His44, Asn46, Arg48, Val59, Asn61, Trp68, Glu71, and Arg73) associations suggest high affinity and selectivity of polyphenols toward galectin-1 protein. GRAPHIC ABSTRACT: [Image: see text]
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spelling pubmed-92093562022-06-22 Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach Bhowmick, Shovonlal Saha, Achintya AlFaris, Nora Abdullah ALTamimi, Jozaa Zaidan ALOthman, Zeid A. Aldayel, Tahany Saleh Wabaidur, Saikh Mohammad Islam, Md Ataul Mol Divers Original Article ABSTRACT: In this study, a set of dietary polyphenols was comprehensively studied for the selective identification of the potential inhibitors/modulators for galectin-1. Galectin-1 is a potent prognostic indicator of tumor progression and a highly regarded therapeutic target for various pathological conditions. This indicator is composed of a highly conserved carbohydrate recognition domain (CRD) that accounts for the binding affinity of β-galactosides. Although some small molecules have been identified as galectin-1 inhibitors/modulators, there are limited studies on the identification of novel compounds against this attractive therapeutic target. The extensive computational techniques include potential drug binding site recognition on galectin-1, binding affinity predictions of ~ 500 polyphenols, molecular docking, and dynamic simulations of galectin-1 with selective dietary polyphenol modulators, followed by the estimation of binding free energy for the identification of dietary polyphenol-based galectin-1 modulators. Initially, a deep neural network-based algorithm was utilized for the prediction of the druggable binding site and binding affinity. Thereafter, the intermolecular interactions of the polyphenol compounds with galectin-1 were critically explored through the extra-precision docking technique. Further, the stability of the interaction was evaluated through the conventional atomistic 100 ns dynamic simulation study. The docking analyses indicated the high interaction affinity of different amino acids at the CRD region of galectin-1 with the proposed five polyphenols. Strong and consistent interaction stability was suggested from the simulation trajectories of the selected dietary polyphenol under the dynamic conditions. Also, the conserved residue (His44, Asn46, Arg48, Val59, Asn61, Trp68, Glu71, and Arg73) associations suggest high affinity and selectivity of polyphenols toward galectin-1 protein. GRAPHIC ABSTRACT: [Image: see text] Springer International Publishing 2021-09-05 2022 /pmc/articles/PMC9209356/ /pubmed/34482478 http://dx.doi.org/10.1007/s11030-021-10297-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Bhowmick, Shovonlal
Saha, Achintya
AlFaris, Nora Abdullah
ALTamimi, Jozaa Zaidan
ALOthman, Zeid A.
Aldayel, Tahany Saleh
Wabaidur, Saikh Mohammad
Islam, Md Ataul
Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
title Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
title_full Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
title_fullStr Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
title_full_unstemmed Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
title_short Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
title_sort structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209356/
https://www.ncbi.nlm.nih.gov/pubmed/34482478
http://dx.doi.org/10.1007/s11030-021-10297-1
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