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

dc.contributor.authorBhowmick, Shovonlal
dc.contributor.authorSaha, Achintya
dc.contributor.authorAlFaris, Nora Abdullah
dc.contributor.authorALTamimi, Jozaa Zaidan
dc.contributor.authorALOthman, Zeid A.
dc.contributor.authorAldayel, Tahany Saleh
dc.contributor.authorWabaidur, Saikh Mohammad
dc.contributor.authorIslam, Md Ataul
dc.date.accessioned2023-07-19T07:26:17Z
dc.date.available2023-07-19T07:26:17Z
dc.date.issued2022-06
dc.description.abstractIn 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.departmentChemical Pathologyen_US
dc.description.librarianhj2023en_US
dc.description.sponsorshipThe 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.urihttps://link.springer.com/journal/11030en_US
dc.identifier.citationBhowmick, 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.issn1381-1991 (print)
dc.identifier.issn1573-501X (online)
dc.identifier.other10.1007/s11030-021-10297-1
dc.identifier.urihttp://hdl.handle.net/2263/91526
dc.language.isoenen_US
dc.publisherSpringeren_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.subjectCarbohydrate recognition domain (CRD)en_US
dc.subjectGalectin-1en_US
dc.subjectDietary polyphenolsen_US
dc.subjectMolecular dockingen_US
dc.subjectMolecular dynamicsen_US
dc.subjectMolecular mechanics–generalized born surface area (MM–GBSA)en_US
dc.subject.otherHealth sciences articles SDG-03
dc.subject.otherSDG-03: Good health and well-being
dc.titleStructure-based identification of galectin-1 selective modulators in dietary food polyphenols : a pharmacoinformatics approachen_US
dc.typeArticleen_US

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