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ARG128-associated recognition of nobiletin by BACE1 revealed by triplicate molecular dynamics, MM-GBSA, and residue-level decomposition.

Created on 08 Aug 2026

Authors

Zihan Wang, Jing Chen

Published in

Molecular diversity. Aug 07, 2026. Epub Aug 07, 2026.

Abstract

Alzheimer's disease (AD) remains the leading cause of dementia worldwide, and beta-secretase 1 (BACE1) remains a high-priority target for reducing amyloid-beta production. Nobiletin, a polymethoxylated flavonoid from citrus peel, has reported neuroprotective and amyloid-lowering effects in AD models, and previous enzymatic work suggested weak BACE1 inhibition; however, its replica-level binding stability and residue-level energetic determinants remain unresolved. Here, we analyzed the nobiletin-BACE1 complex using ChEMBL-based chemical-space contextualization, qualitative QSAR uncertainty assessment, molecular docking, triplicate 200-ns all-atom molecular dynamics simulations, molecular mechanics generalized Born surface area (MM-GBSA) end-point scoring, residue-level decomposition, ProLIF interaction fingerprints, electrostatic surface analysis, and a same-protocol OM99-2 structural control. The ligand remained locally accommodated within the BACE1 cleft across the sampled trajectories, with a mean internal MM-GBSA score (DeltaG_bind) of - 15.71 +/- 0.76 kcal/mol (n = 3: - 14.20, - 16.35, and - 16.57 kcal/mol). Residue-level decomposition identified ARG128 as the dominant computed hotspot (total mean = - 11.13 +/- 0.38 kcal/mol), with favorable van der Waals (VDW mean = - 6.88 +/- 0.21 kcal/mol) and Coulombic (Coulomb mean = - 4.25 +/- 0.53 kcal/mol) components. Additional hydrophobic/aromatic packing involved VAL69, TYR71, PRO70, PHE38, and PRO129, while ASP32/ASP228 were positioned outside the dominant nobiletin contact pattern. Together, these results support a putative ARG128-associated, non-dyad-dominant catalytic-cleft recognition model that should be interpreted as a hypothesis-generating computational framework for future biochemical testing and scaffold optimization.

PMID:
42568007
Bibliographic data and abstract were imported from PubMed on 08 Aug 2026.

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