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.

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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
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article

Design principles for natural SGLT2 modulators from multi-scale computation

Mohammed Mousa Al-Zharani, Mohammed Merzouki, Allal Challioui, Mohamed Bouhrim et al.
Royal Society Open Science
Computational Drug Discovery Methods
article

Design principles for natural SGLT2 modulators from multi-scale computation

Mohammed Mousa Al-Zharani, Mohammed Merzouki, Allal Challioui, Mohamed Bouhrim, Ashraf Ahmed Qurtam, Yousra Hammouti, Oussama Khibech, Mohamed Addi, Said Abadi, Fahd A. Nasr
article en

Abstract

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.

Royal Society Open ScienceVol. 13(11)
Imam Mohammad ibn Saud Islamic University (SA), Mohamed I University (MA), Premier University (BD)
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
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