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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mahapatra, Subhasmita | en_US |
| dc.date.accessioned | 2026-09-01T04:23:13Z | - |
| dc.date.available | 2026-09-01T04:23:13Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Mahapatra, S., & Sinha, S. (2026). Mapping the Glycan Recognition Landscape of Galectin-3 through Enhanced Sampling Simulations. Journal of Chemical Information and Modeling, 66(15), 9353–9364. https://doi.org/10.1021/acs.jcim.6c00794 | en_US |
| dc.identifier.issn | 1549960X | - |
| dc.identifier.other | EID(2-s2.0-105046858826) | - |
| dc.identifier.uri | https://dx.doi.org/10.1021/acs.jcim.6c00794 | - |
| dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/19002 | - |
| dc.description.abstract | Galectin-3 is a β-galactoside-binding protein involved in multiple biological processes, including cell proliferation, apoptosis, and inflammatory response. The pivotal role played by galectin-3 in diverse cellular processes makes it a therapeutic target of choice against cancers. However, the dynamic interplay of galectin-3 with diverse carbohydrate ligands is yet to be fully understood in detail. Elucidating molecular recognition mechanism(s) of ligand binding in a system such as galectin-3 is crucial for biological function and has promising implications in drug discovery. However, capturing these rare-event mechanisms using atomistic molecular dynamics simulations is a computationally expensive task. Our work aims to uncover the nuances of one such crucial mechanism using Gaussian accelerated molecular dynamics (GaMD) with galectin-3 as a prototypical system. The current work employs GaMD to explore the intricate binding mechanisms of galectin-3 with glycans of varying chain lengths. Our results show that pentasaccharides and ortho-fluoro derivatives as longer-chain glycans have interacted with galectin-3 strongly and stably, recapitulating the cocrystal pose. These ligands interact not only with the CRD of galectin-3 but also remain bound in the native pocket over longer time scales, in contrast to shorter-chain ligands such as beta-lactose and TF-antigen. However, due to inherent conformational flexibility, shorter-chain ligands were observed to sample allosteric pockets prior to reaching the native binding mode. This suggests that the length of the galectin-3 ligand plays a crucial role in determining its mode of interaction. This study advances the understanding of galectin-3 recognition and provides important considerations for designing effective galectin-3-targeting therapeutics. © 2026 American Chemical Society. | en_US |
| dc.language.iso | en | en_US |
| dc.source | Journal of chemical information and modeling | en_US |
| dc.title | Mapping the Glycan Recognition Landscape of Galectin-3 through Enhanced Sampling Simulations | en_US |
| dc.type | Journal Article | en_US |
| Appears in Collections: | Mehta Family School of Biosciences and Biomedical Engineering | |
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