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Updated: May 19, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
A novel aminopeptidase N inhibitor developed by virtual screening approach
Jinhong Feng1, Kang Jin, Huawei Zhu
1Shandong Analysis and Test Center, Shandong Academy of Sciences, Jinan, Shandong 250014, China.
Abstract:
A virtual screening was performed to discover novel lead structures as potent aminopeptidase N(APN) inhibitors. A commercial database containing about 1,60,000 molecules in SPECS was filtered by rule of five, zinc binding groups, pharmacophore models and binding pattern analysis. At last, 24 molecules were selected for enzyme inhibition assay and compound 2 exhibited the inhibition constant (K(i)) of 2.79±0.32 μM against APN compared with Bestatin (K(i)= 3.37±0.24 μM). Our results indicated that compound 2 exhibited good antiproliferative activities against a broad spectrum of human cancer cell lines, and induced cell cycle arrest at G1 phase and eventual apoptosis. Moreover, compound 2 can inhibit the invasion of MDA-MB-231 cells. In summary, our results suggest that compound 2, a potent APN inhibitor, is worthy of further development.

