Structure-Based In-Silico Evaluation of Arbutin against the Invasion– Metastasis Targets MRCK-β, 14-3-3σ and Heparanase: Molecular Docking, Protein–Ligand Interaction and ADMET Profiling

AbstractBackground: Arbutin (hydroquinone-O-β-D-glucopyranoside) is a phenolic glycoside usedwidely as a skin-depigmenting agent, but its potential to engage the protein machinery of tumourinvasion is undefined. We evaluated, by a reproducible structure-based workflow, whetherarbutin binds three mechanistically distinct drivers of cutaneous tumour invasion and comparedit with the topical agent 5-fluorouracil.Methods: α- and β-arbutin, 5-fluorouridine and 5-fluorouracil were docked (AutoDock Vina1.2.7) against five human crystal structures: MRCK-β (PDB 5OTE), 14-3-3σ (7OBC, 7OBX,8RRM) and heparanase (7PR7). Each ligand–receptor pair was docked in triplicate withindependent seeds; the protocol was validated by re-docking the co-crystallised ligands. Bestposes were profiled with PLIP, and physicochemical, drug-likeness and ADMET properties werecomputed with RDKit and ADMET-AI.Results: Re-docking reproduced BDP-00008900 (RMSD 0.54 Å) and fusicoccin-A (1.34 Å),validating the protocol. Both arbutin anomers bound all three target classes with predictedaffinities of -6.0 to -6.6 kcal/mol, essentially invariant across structurally unrelated sites, andoutscored 5-fluorouracil at every target by 1.0–2.0 kcal/mol. In the heparanase catalytic cleft α-arbutin formed ten hydrogen bonds, including a direct contact with the catalytic nucleophileGlu343; in 14-3-3σ it occupied the phosphoserine-coordinating sub-site; and in MRCK-β itadopted a canonical type-I kinase orientation, although the designed inhibitor BDP-00008900scored 2.5 kcal/mol stronger. Arbutin was predicted to be highly polar with low passivepermeability, no P-glycoprotein or cytochrome-P450 liability, and a markedly more favourabletoxicity profile than the fluoropyrimidines (predicted DILI 0.14 vs 0.81; LD₅₀ ≈ 2,700 vs 436mg/kg).Conclusion: Arbutin engages all three invasion targets with chemically specific interactions,most compellingly the heparanase catalytic cleft, whose extracellular localisation matchesarbutin’s poorly permeable physicochemistry and the requirements of a topical agent. Thesecomputational predictions warrant biochemical and cellular validation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23829391
Primary Topic
Computational Drug Discovery Methods
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article
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article

Structure-Based In-Silico Evaluation of Arbutin against the Invasion– Metastasis Targets MRCK-β, 14-3-3σ and Heparanase: Molecular Docking, Protein–Ligand Interaction and ADMET Profiling

Dr. R. SUNDARARAJAN, Mrs. K. SUGANYA SRI, M.SYED ASHIFA, M.ACHUTHA, S. DIVYA BHARATHI, V.PUJAA, S.SASIKALA
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Structure-Based In-Silico Evaluation of Arbutin against the Invasion– Metastasis Targets MRCK-β, 14-3-3σ and Heparanase: Molecular Docking, Protein–Ligand Interaction and ADMET Profiling

Dr. R. SUNDARARAJAN, Mrs. K. SUGANYA SRI, M.SYED ASHIFA, M.ACHUTHA, S. DIVYA BHARATHI, V.PUJAA, S.SASIKALA
article en

Abstract

AbstractBackground: Arbutin (hydroquinone-O-β-D-glucopyranoside) is a phenolic glycoside usedwidely as a skin-depigmenting agent, but its potential to engage the protein machinery of tumourinvasion is undefined. We evaluated, by a reproducible structure-based workflow, whetherarbutin binds three mechanistically distinct drivers of cutaneous tumour invasion and comparedit with the topical agent 5-fluorouracil.Methods: α- and β-arbutin, 5-fluorouridine and 5-fluorouracil were docked (AutoDock Vina1.2.7) against five human crystal structures: MRCK-β (PDB 5OTE), 14-3-3σ (7OBC, 7OBX,8RRM) and heparanase (7PR7). Each ligand–receptor pair was docked in triplicate withindependent seeds; the protocol was validated by re-docking the co-crystallised ligands. Bestposes were profiled with PLIP, and physicochemical, drug-likeness and ADMET properties werecomputed with RDKit and ADMET-AI.Results: Re-docking reproduced BDP-00008900 (RMSD 0.54 Å) and fusicoccin-A (1.34 Å),validating the protocol. Both arbutin anomers bound all three target classes with predictedaffinities of -6.0 to -6.6 kcal/mol, essentially invariant across structurally unrelated sites, andoutscored 5-fluorouracil at every target by 1.0–2.0 kcal/mol. In the heparanase catalytic cleft α-arbutin formed ten hydrogen bonds, including a direct contact with the catalytic nucleophileGlu343; in 14-3-3σ it occupied the phosphoserine-coordinating sub-site; and in MRCK-β itadopted a canonical type-I kinase orientation, although the designed inhibitor BDP-00008900scored 2.5 kcal/mol stronger. Arbutin was predicted to be highly polar with low passivepermeability, no P-glycoprotein or cytochrome-P450 liability, and a markedly more favourabletoxicity profile than the fluoropyrimidines (predicted DILI 0.14 vs 0.81; LD₅₀ ≈ 2,700 vs 436mg/kg).Conclusion: Arbutin engages all three invasion targets with chemically specific interactions,most compellingly the heparanase catalytic cleft, whose extracellular localisation matchesarbutin’s poorly permeable physicochemistry and the requirements of a topical agent. Thesecomputational predictions warrant biochemical and cellular validation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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Structure-Based In-Silico Evaluation of Arbutin against the Invasion– Metastasis Targets MRCK-β, 14-3-3σ and Heparanase: Molecular Docking, Protein–Ligand Interaction and ADMET Profiling — Dr. R. SUNDARARAJAN, Mrs. K. SUGANYA SRI, M.SYED ASHIFA, M.ACHUTHA, S. DIVYA BHARATHI, V.PUJAA, S.SASIKALA · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS