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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Revisiting protein kinase-substrate interactions: Toward therapeutic development

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Autor(es):
de Oliveira, Paulo Sergio L. [1] ; Ferraz, Felipe Augusto N. [1] ; Pena, Darlene A. [2] ; Pramio, Dimitrius T. [2] ; Morais, Felipe A. [2] ; Schechtman, Deborah [2]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Ctr Nacl Pesquisa Energia & Mat, Lab Nacl Biociencias, BR-13083970 Campinas, SP - Brazil
[2] Univ Sao Paulo, Dept Bioquim, Inst Quim, BR-05508000 Sao Paulo - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo de Revisão
Fonte: Science Signaling; v. 9, n. 420 MAR 22 2016.
Citações Web of Science: 18
Resumo

Despite the efforts of pharmaceutical companies to develop specific kinase modulators, few drugs targeting kinases have been completely successful in the clinic. This is primarily due to the conserved nature of kinases, especially in the catalytic domains. Consequently, many currently available inhibitors lack sufficient selectivity for effective clinical application. Kinases phosphorylate their substrates to modulate their activity. One of the important steps in the catalytic reaction of protein phosphorylation is the correct positioning of the target residue within the catalytic site. This positioning is mediated by several regions in the substrate binding site, which is typically a shallow crevice that has critical subpockets that anchor and orient the substrate. The structural characterization of this protein-protein interaction can aid in the elucidation of the roles of distinct kinases in different cellular processes, the identification of substrates, and the development of specific inhibitors. Because the region of the substrate that is recognized by the kinase can be part of a linear consensus motif or a nonlinear motif, advances in technology beyond simple linear sequence scanning for consensus motifs were needed. Cost-effective bioinformatics tools are already frequently used to predict kinase-substrate interactions for linear consensus motifs, and new tools based on the structural data of these interactions improve the accuracy of these predictions and enable the identification of phosphorylation sites within nonlinearmotifs. In this Review, we revisit kinase-substrate interactions and discuss the various approaches that can be used to identify them and analyze their binding structures for targeted drug development. (AU)

Processo FAPESP: 11/10321-3 - Caracterização funcional da proteína cinase c beta 1 na auto-renovação
Beneficiário:Darlene Aparecida Pena
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 12/24154-4 - Anticorpos conformacionais específicos para a PKC beta I e suas aplicações
Beneficiário:Deborah Schechtman
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 15/17812-3 - Mecanismos de regulação da expressão da proteína quinase c atípica PKMz, e identificação do seu interactoma em contextos neurais específicos
Beneficiário:Dimitrius Tansini Pramio
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 15/21786-8 - Desenvolvimento, caracterização e aplicações de anticorpos específicos para as PKCs ativas
Beneficiário:Deborah Schechtman
Linha de fomento: Auxílio à Pesquisa - Regular