The discovery of novel β-secretase inhibitors: pharmacophore modeling, virtual screening, and docking studies
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Updated: May 24, 2026

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
Published on: September 26, 2025
Yan Niu1, Chao Ma, Hongwei Jin
1Department of Medicinal Chemistry, School of Pharmaceutical Sciences, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.
Abstract:
This article describes the identification of two small molecular inhibitors for β-secretase by integrating virtual screening with fluorescence resonance energy transfer bioassay. A ligand-based pharmacophore model was developed, and the sequential virtual screening of ZINC database was performed using the acquired pharmacophore model and molecular docking. Biological evaluation of 10 virtual hits led to the identification of two novel inhibitors with IC(50) values of 4.76 and 0.31 μm, respectively. These two moderate inhibitors could represent new potentials for the development of anti-Alzheimer's disease agents.
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