Identification of new fyn kinase inhibitors using a FLAP-based approach

Giulio Poli, Tiziano Tuccinardi, Flavio Rizzolio, Isabella Caligiuri, Lorenzo Botta, Carlotta Granchi, Gabriella Ortore, Filippo Minutolo, Silvia Schenone, Adriano Martinelli

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)2538-2547
Number of pages10
JournalJournal of Chemical Information and Modeling
Volume53
Issue number10
DOIs
Publication statusPublished - Oct 28 2013

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Pathology
pathology
Screening
Proto-Oncogene Proteins c-fyn
Phosphotransferases
workflow
Platinum
gold
Gold
Tumors
Assays
Brain
brain
cancer
Disease
methodology
Values
software

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Computer Science Applications
  • Library and Information Sciences

Cite this

Poli, G., Tuccinardi, T., Rizzolio, F., Caligiuri, I., Botta, L., Granchi, C., ... Martinelli, A. (2013). Identification of new fyn kinase inhibitors using a FLAP-based approach. Journal of Chemical Information and Modeling, 53(10), 2538-2547. https://doi.org/10.1021/ci4002553

Identification of new fyn kinase inhibitors using a FLAP-based approach. / Poli, Giulio; Tuccinardi, Tiziano; Rizzolio, Flavio; Caligiuri, Isabella; Botta, Lorenzo; Granchi, Carlotta; Ortore, Gabriella; Minutolo, Filippo; Schenone, Silvia; Martinelli, Adriano.

In: Journal of Chemical Information and Modeling, Vol. 53, No. 10, 28.10.2013, p. 2538-2547.

Research output: Contribution to journalArticle

Poli, G, Tuccinardi, T, Rizzolio, F, Caligiuri, I, Botta, L, Granchi, C, Ortore, G, Minutolo, F, Schenone, S & Martinelli, A 2013, 'Identification of new fyn kinase inhibitors using a FLAP-based approach', Journal of Chemical Information and Modeling, vol. 53, no. 10, pp. 2538-2547. https://doi.org/10.1021/ci4002553
Poli, Giulio ; Tuccinardi, Tiziano ; Rizzolio, Flavio ; Caligiuri, Isabella ; Botta, Lorenzo ; Granchi, Carlotta ; Ortore, Gabriella ; Minutolo, Filippo ; Schenone, Silvia ; Martinelli, Adriano. / Identification of new fyn kinase inhibitors using a FLAP-based approach. In: Journal of Chemical Information and Modeling. 2013 ; Vol. 53, No. 10. pp. 2538-2547.
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