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

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dc.contributor.author Bhowmick, Shovonlal
dc.contributor.author Saha, Achintya
dc.contributor.author AlFaris, Nora Abdullah
dc.contributor.author ALTamimi, Jozaa Zaidan
dc.contributor.author ALOthman, Zeid A.
dc.contributor.author Aldayel, Tahany Saleh
dc.contributor.author Wabaidur, Saikh Mohammad
dc.contributor.author Islam, Md Ataul
dc.date.accessioned 2023-07-19T07:26:17Z
dc.date.available 2023-07-19T07:26:17Z
dc.date.issued 2022-06
dc.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. en_US
dc.description.department Chemical Pathology en_US
dc.description.librarian hj2023 en_US
dc.description.sponsorship The Deanship of Scientific Research at Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through the Research Groups Program Grant No. (RGP-1440–0021). en_US
dc.description.uri https://link.springer.com/journal/11030 en_US
dc.identifier.citation Bhowmick, S., Saha, A., AlFaris, N.A. et al. Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach. Molecular Diversity 26, 1697–1714 (2022). https://doi.org/10.1007/s11030-021-10297-1. en_US
dc.identifier.issn 1381-1991 (print)
dc.identifier.issn 1573-501X (online)
dc.identifier.other 10.1007/s11030-021-10297-1
dc.identifier.uri http://hdl.handle.net/2263/91526
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License. en_US
dc.subject Carbohydrate recognition domain (CRD) en_US
dc.subject Galectin-1 en_US
dc.subject Dietary polyphenols en_US
dc.subject Molecular docking en_US
dc.subject Molecular dynamics en_US
dc.subject Molecular mechanics–generalized born surface area (MM–GBSA) en_US
dc.subject.other Health sciences articles SDG-03
dc.subject.other SDG-03: Good health and well-being
dc.title Structure-based identification of galectin-1 selective modulators in dietary food polyphenols : a pharmacoinformatics approach en_US
dc.type Article en_US


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