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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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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] |
format | Online Article Text |
id | pubmed-9209356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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