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

Author:

Bhowmick Shovonlal,Saha Achintya,AlFaris Nora Abdullah,ALTamimi Jozaa Zaidan,ALOthman Zeid A.,Aldayel Tahany Saleh,Wabaidur Saikh Mohammad,Islam Md AtaulORCID

Abstract

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

Funder

deanship of scientific research at princess nourah bint abdulrahman university

Publisher

Springer Science and Business Media LLC

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Drug Discovery,Molecular Biology,General Medicine,Information Systems,Catalysis

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