摘要
Src家族激酶(SFKs)是一组非受体酪氨酸激酶,它的活性主要包括细胞形态学、细胞运动、细胞增殖及生存的调节。这些激酶的异常激活与表达导致很广范围的疾病的发生与发展,如:大量的实体瘤、各种各样的恶性血液病及一些神经元病理。因此,寻找SFK抑制剂是药物化学领域有前景的研究课题。计算方法研究,如:基于受体或者配体的虚拟筛选、对接及分子模拟,证明是鉴别新的SFKs抑制剂的强大工具。在该综述中,我们介绍和分析了计算方法的主要实例,可以鉴定新的SFKs配体和优化先导化合物的活性和药代动力学参数。
关键词: Src羧基端激酶(c-Src)
Current Medicinal Chemistry
Title:Computational Approaches for the Identification and Optimization of Src Family Kinases Inhibitors
Volume: 21 Issue: 28
Author(s): G. Poli, A. Martinelli and T. Tuccinardi
Affiliation:
关键词: Src羧基端激酶(c-Src)
摘要: 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.
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Poli G., Martinelli A. and Tuccinardi T., Computational Approaches for the Identification and Optimization of Src Family Kinases Inhibitors, Current Medicinal Chemistry 2014; 21 (28) . https://dx.doi.org/10.2174/0929867321666140706144419
DOI https://dx.doi.org/10.2174/0929867321666140706144419 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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