ArticleACS omega2026
Identifying Potential BACE1 Inhibitors from the ChEMBL Database Using Machine Learning and Atomistic Simulation Approaches.
Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Consensus In Silico Pharmacodynamic Screening of Twelve Fabaceae Isoflavones Targeting Glycation, Oxidative Stress, Antidiabetic Activity, and NF-κB-Related Inflammation.Pharmaceuticals (Basel, Switzerland) · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The inhibition of β-site amyloid precursor protein-cleaving enzyme 1 presents a promising therapeutic strategy for treating Alzheimer's disease by reducing amyloid-β (Aβ) production. This paper employed a computational approach that combined machine learning (ML) and atomistic simulations to accelerate the discovery of potential BACE1 inhibitors. Our ML models, trained on a set of ligands with experimental binding affinity, showed high accuracy when tested on a holdout test set. The best model was used to screen more than two million compounds in the CHEMBL33 chemical library to obtain a short list of top-hit compounds, which were further analyzed using molecular docking and fast pulling of ligand (FPL) simulations. The insights into structure and binding energetics obtained from FPL simulations elucidate the stability and interaction mechanisms of the BACE1-ligand bound state, providing data useful for the rational design of novel AD therapeutics.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.