Literature DB >> 16172032

Substrate specificity of protein kinases and computational prediction of substrates.

Bostjan Kobe1, Thorsten Kampmann, Jade K Forwood, Pawel Listwan, Ross I Brinkworth.   

Abstract

To ensure signalling fidelity, kinases must act only on a defined subset of cellular targets. Appreciating the basis for this substrate specificity is essential for understanding the role of an individual protein kinase in a particular cellular process. The specificity in the cell is determined by a combination of "peptide specificity" of the kinase (the molecular recognition of the sequence surrounding the phosphorylation site), substrate recruitment and phosphatase activity. Peptide specificity plays a crucial role and depends on the complementarity between the kinase and the substrate and therefore on their three-dimensional structures. Methods for experimental identification of kinase substrates and characterization of specificity are expensive and laborious, therefore, computational approaches are being developed to reduce the amount of experimental work required in substrate identification. We discuss the structural basis of substrate specificity of protein kinases and review the experimental and computational methods used to obtain specificity information.

Mesh:

Substances:

Year:  2005        PMID: 16172032     DOI: 10.1016/j.bbapap.2005.07.036

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  37 in total

Review 1.  Methodologies for characterizing phosphoproteins by mass spectrometry.

Authors:  Philip R Gafken; Paul D Lampe
Journal:  Cell Commun Adhes       Date:  2006 Sep-Dec

Review 2.  Uses for JNK: the many and varied substrates of the c-Jun N-terminal kinases.

Authors:  Marie A Bogoyevitch; Bostjan Kobe
Journal:  Microbiol Mol Biol Rev       Date:  2006-12       Impact factor: 11.056

Review 3.  Substrate and docking interactions in serine/threonine protein kinases.

Authors:  Elizabeth J Goldsmith; Radha Akella; Xiaoshan Min; Tianjun Zhou; John M Humphreys
Journal:  Chem Rev       Date:  2007-10-19       Impact factor: 60.622

4.  Systematic analysis of protein phosphorylation networks from phosphoproteomic data.

Authors:  Chunxia Song; Mingliang Ye; Zexian Liu; Han Cheng; Xinning Jiang; Guanghui Han; Zhou Songyang; Yexiong Tan; Hongyang Wang; Jian Ren; Yu Xue; Hanfa Zou
Journal:  Mol Cell Proteomics       Date:  2012-07-13       Impact factor: 5.911

5.  PhosSNP for systematic analysis of genetic polymorphisms that influence protein phosphorylation.

Authors:  Jian Ren; Chunhui Jiang; Xinjiao Gao; Zexian Liu; Zineng Yuan; Changjiang Jin; Longping Wen; Zhaolei Zhang; Yu Xue; Xuebiao Yao
Journal:  Mol Cell Proteomics       Date:  2009-12-08       Impact factor: 5.911

6.  Dynamics of re-constitution of the human nuclear proteome after cell division is regulated by NLS-adjacent phosphorylation.

Authors:  Gergely Róna; Máté Borsos; Jonathan J Ellis; Ahmed M Mehdi; Mary Christie; Zsuzsanna Környei; Máté Neubrandt; Judit Tóth; Zoltán Bozóky; László Buday; Emília Madarász; Mikael Bodén; Bostjan Kobe; Beáta G Vértessy
Journal:  Cell Cycle       Date:  2014       Impact factor: 4.534

7.  Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data.

Authors:  Haruna Imamura; Nozomu Yachie; Rintaro Saito; Yasushi Ishihama; Masaru Tomita
Journal:  BMC Bioinformatics       Date:  2010-05-07       Impact factor: 3.169

8.  Computational prediction and experimental verification of new MAP kinase docking sites and substrates including Gli transcription factors.

Authors:  Thomas C Whisenant; David T Ho; Ryan W Benz; Jeffrey S Rogers; Robyn M Kaake; Elizabeth A Gordon; Lan Huang; Pierre Baldi; Lee Bardwell
Journal:  PLoS Comput Biol       Date:  2010-08-26       Impact factor: 4.475

9.  Cell cycle kinases predicted from conserved biophysical properties.

Authors:  Kazimierz O Wrzeszczynski; Burkhard Rost
Journal:  Proteins       Date:  2009-02-15

10.  Regulation of Ci-SCFSlimb binding, Ci proteolysis, and hedgehog pathway activity by Ci phosphorylation.

Authors:  Margery G Smelkinson; Qianhe Zhou; Daniel Kalderon
Journal:  Dev Cell       Date:  2007-10       Impact factor: 12.270

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.