Related Experiment Video
Updated: May 8, 2026
Fluorescence-Based Detection of FEN1 Nuclease Activity and Screening of Small-Molecule Inhibitors
Published on: June 27, 2025
Identification of new Fyn kinase inhibitors using a FLAP-based approach
Giulio Poli1, Tiziano Tuccinardi, Flavio Rizzolio
1Department of Pharmacy, University of Pisa , 56126 Pisa, Italy.
Abstract:
The abnormal activity of Fyn tyrosine kinase has been shown to be related to various human cancers. Furthermore, its involvement in signaling pathways that lead to severe pathologies, such as Alzheimer's and Parkinson's diseases, has also been demonstrated, thus making Fyn an attractive target for the discovery of potential novel therapeutics for brain pathologies and tumors. In this study we evaluated the reliability of various screening approaches based on the FLAP software. By the application of the best procedure, the virtual screening workflow was used to filter the Gold and Platinum database from Asinex to identify new Fyn inhibitors. Enzymatic assays revealed that among the eight top-scoring compounds five proved to efficiently inhibit Fyn activity with IC50 values in the micromolar range. These results demonstrate the validity of the methodologies we followed. Furthermore, the five active compounds herein described may be considered as interesting leads for the development of new and more efficient Fyn inhibitors.
Insights
Researchers identified novel Fyn inhibitors using virtual screening. Five compounds effectively inhibited Fyn activity, showing promise for developing new therapeutics for cancer and neurodegenerative diseases.
Area of Science:
- Biochemistry
- Medicinal Chemistry
- Neuroscience
Background:
- Abnormal Fyn tyrosine kinase activity is linked to human cancers and neurodegenerative diseases like Alzheimer's and Parkinson's.
- Fyn is a potential therapeutic target for brain pathologies and tumors.
Purpose of the Study:
- To evaluate virtual screening approaches using FLAP software for identifying Fyn inhibitors.
- To discover novel Fyn inhibitors from chemical databases.
Main Methods:
- Virtual screening workflow utilizing FLAP software.
- Filtering of Gold and Platinum databases from Asinex.
- Enzymatic assays to test compound efficacy.
Main Results:
- Five out of eight top-scoring compounds demonstrated efficient Fyn inhibition.
- Inhibitory activity was observed with IC50 values in the micromolar range.
- The virtual screening methodology proved reliable and effective.
Conclusions:
- The study validates the virtual screening approach for identifying Fyn inhibitors.
- The five identified active compounds are promising lead structures for developing new Fyn-targeted therapeutics.
