Design principles for natural SGLT2 modulators from multi-scale computation
Abstract Human sodium-glucose cotransporter 2 (hSGLT2) is a membrane-embedded renal transporter and an established therapeutic target for type 2 diabetes. Hyperoside, myricetin, cyanidin-3-O-glucoside and isoliquiritigenin were investigated as a chemically diverse panel of natural scaffolds using a multi-scale computational workflow combining redocking-validated molecular docking, reconstruction of an unresolved transporter segment, molecular dynamics (MD) in an explicit POPC bilayer, molecular mechanics/Poisson–Boltzmann surface area (MM/PBSA) calculations, principal component and free-energy landscape analyses and density functional theory (DFT). The membrane simulations preserved the global hSGLT2 fold while revealing distinct ligand-dependent binding behaviours. Myricetin and cyanidin-3-O-glucoside exhibited limited positional deviations; hyperoside achieved persistent accommodation following an initial adjustment, whereas isoliquiritigenin underwent a marked late rearrangement. Ensemble-based energetic analysis prioritized cyanidin-3-O-glucoside, while hyperoside and myricetin formed an energetically comparable intermediate group and isoliquiritigenin displayed the least favourable profile. Electronic-structure analysis further characterized cyanidin-3-O-glucoside as the most responsive ligand within the DFT subset. Collectively, these findings indicate that glycone-assisted polar anchoring, aromatic complementarity and restricted conformational flexibility promote persistent hSGLT2 recognition. Direct hSGLT2 inhibition and hSGLT1 counter-screening assays remain necessary to establish potency and selectivity.
Authors
- Mohammed Mousa Al-Zharani (ORCID: https://orcid.org/0000-0002-0810-4803)
- Mohammed Merzouki
- Allal Challioui
- Mohamed Bouhrim (ORCID: https://orcid.org/0000-0001-9944-811X)
- Ashraf Ahmed Qurtam (ORCID: https://orcid.org/0000-0002-7627-6105)
- Yousra Hammouti
- Oussama Khibech (ORCID: https://orcid.org/0009-0007-9407-7576)
- Mohamed Addi
- Said Abadi
- Fahd A. Nasr
Institutions
- Imam Mohammad ibn Saud Islamic University (SA)
- Mohamed I University (MA)
- Premier University (BD)
Publication Details
- Journal
- Royal Society Open Science
- Published
- 2026-11-04
- DOI
- https://doi.org/10.1098/rsos.261760
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00