Virtual screening and molecular docking of flavonoid compounds as BACE-1 inhibitors for Alzheimer’s Disease: identification of Betagarin as a promising nutraceutical lead candidate

Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder accounting for 60–70% of dementia cases globally, with the β-site amyloid precursor protein cleaving enzyme-1 (BACE-1) representing one of the most intensively studied therapeutic targets due to its rate-limiting role in amyloid-β (Aβ) peptide production. Despite decades of drug discovery efforts, no approved BACE-1 inhibitor has successfully demonstrated both efficacy and safety in large-scale clinical trials, largely owing to off-target toxicity and poor blood–brain barrier (BBB) permeability. This study presents a multi-tiered structure-based virtual screening of 1,870 flavonoid compounds against the catalytic domain of BACE-1 (PDB ID: 2ZJN) using AutoDock Vina. Ligand preparation was performed with Open Babel v3.1.1, and docking was executed within a 30 × 30 × 30 Å grid box centred on the catalytic aspartyl dyad (Asp32 and Asp228). Drug-likeness was evaluated using Lipinski’s Rule of Five, and in silico toxicity was assessed via the OSIRIS Property Explorer across four risk categories. Betagarin, a natural flavonoid constituent of Beta vulgaris (beetroot), was selected as the primary lead candidate, demonstrating a binding affinity of −9.3 kcal/mol, zero Lipinski violations, a molecular weight of 328.316 Da, a LogP of 3.139, and uniformly low-risk toxicological predictions. These results collectively support Betagarin as a compelling nutraceutical-derived BACE-1 inhibitor with a favourable pharmacokinetic and safety profile. Future in vitro enzymatic assays and in vivo validation studies are warranted to confirm inhibitory efficacy and advance this compound towards preclinical development.

Authors

Publication Details

Journal
Figshare
Published
2026-11-05
DOI
https://doi.org/10.6084/m9.figshare.34921921
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Virtual screening and molecular docking of flavonoid compounds as BACE-1 inhibitors for Alzheimer’s Disease: identification of Betagarin as a promising nutraceutical lead candidate

Sanjai Saxena, Pratham Jha
Figshare
Computational Drug Discovery Methods
article

Virtual screening and molecular docking of flavonoid compounds as BACE-1 inhibitors for Alzheimer’s Disease: identification of Betagarin as a promising nutraceutical lead candidate

Sanjai Saxena, Pratham Jha
article en

Abstract

Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder accounting for 60–70% of dementia cases globally, with the β-site amyloid precursor protein cleaving enzyme-1 (BACE-1) representing one of the most intensively studied therapeutic targets due to its rate-limiting role in amyloid-β (Aβ) peptide production. Despite decades of drug discovery efforts, no approved BACE-1 inhibitor has successfully demonstrated both efficacy and safety in large-scale clinical trials, largely owing to off-target toxicity and poor blood–brain barrier (BBB) permeability. This study presents a multi-tiered structure-based virtual screening of 1,870 flavonoid compounds against the catalytic domain of BACE-1 (PDB ID: 2ZJN) using AutoDock Vina. Ligand preparation was performed with Open Babel v3.1.1, and docking was executed within a 30 × 30 × 30 Å grid box centred on the catalytic aspartyl dyad (Asp32 and Asp228). Drug-likeness was evaluated using Lipinski’s Rule of Five, and in silico toxicity was assessed via the OSIRIS Property Explorer across four risk categories. Betagarin, a natural flavonoid constituent of Beta vulgaris (beetroot), was selected as the primary lead candidate, demonstrating a binding affinity of −9.3 kcal/mol, zero Lipinski violations, a molecular weight of 328.316 Da, a LogP of 3.139, and uniformly low-risk toxicological predictions. These results collectively support Betagarin as a compelling nutraceutical-derived BACE-1 inhibitor with a favourable pharmacokinetic and safety profile. Future in vitro enzymatic assays and in vivo validation studies are warranted to confirm inhibitory efficacy and advance this compound towards preclinical development.

Figshare
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon