Computational Approaches for the Identification and Optimization of Src Family Kinases Inhibitors

Author(s): G. Poli, A. Martinelli, T. Tuccinardi

Journal Name: Current Medicinal Chemistry

Volume 21 , Issue 28 , 2014

  Journal Home
Translate in Chinese
Become EABM
Become Reviewer
Call for Editor


Src family kinases (SFKs) are a group of non-receptor tyrosine kinases whose activity is involved in the regulation of cellular morphology, motility, proliferation and survival. An aberrant activation and expression of these kinases contribute to the pathogenesis and progression of a broad range of diseases, such as a large number of solid tumors, various hematological malignancies and some neuronal pathologies. The search for SFK inhibitors is therefore a promising research topic in medicinal chemistry. Computational studies such as receptor-based and/or ligand-based virtual screening, docking, and molecular modeling proved to be a powerful tool for identifying new SFKs inhibitors. In this review we report and analyze the main examples of computational approaches that allowed the identification of new SFKs ligands and the optimization of either activity and pharmacokinetic profile of lead compounds.

Keywords: c-Src, Fyn, Hck, Lck, Lyn, Src family kinases, virtual screening, yes.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2014
Page: [3281 - 3293]
Pages: 13
DOI: 10.2174/0929867321666140706144419
Price: $65

Article Metrics

PDF: 46