Literature DB >> 23172737

Protein structure as a means to triage proposed PTM sites.

Elien Vandermarliere1, Lennart Martens.   

Abstract

PTMs such as phosphorylation are often important actors in protein regulation and recognition. These functions require both visibility and accessibility to other proteins; that the modification is located at the surface of the protein. Currently, many repositories provide information on PTMs but structural information is often lacking. This study, which focuses on phosphorylation sites available in UniProtKB/Swiss-Prot, illustrates that most phosphorylation sites are indeed found at the surface of the protein, but that some sites are found buried in the core of the protein. Several of these identified buried phosphorylation sites can easily become accessible upon small conformational changes while others would require the whole protein to unfold and are hence most unlikely modification sites. Subsequent analysis of phosphorylation sites available in PRIDE demonstrates that taking the structure of the protein into account would be a good guide in the identification of the actual phosphorylated positions in phophoproteomics experiments. This analysis illustrates that care must be taken when simply accepting the position of a PTM without first analyzing its position within the protein structure if the latter is available.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23172737     DOI: 10.1002/pmic.201200232

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  11 in total

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Journal:  J Biol Chem       Date:  2015-02-09       Impact factor: 5.157

2.  Protein Dynamics Enables Phosphorylation of Buried Residues in Cdk2/Cyclin-A-Bound p27.

Authors:  João Henriques; Kresten Lindorff-Larsen
Journal:  Biophys J       Date:  2020-10-14       Impact factor: 4.033

3.  14-3-3-Pred: improved methods to predict 14-3-3-binding phosphopeptides.

Authors:  Fábio Madeira; Michele Tinti; Gavuthami Murugesan; Emily Berrett; Margaret Stafford; Rachel Toth; Christian Cole; Carol MacKintosh; Geoffrey J Barton
Journal:  Bioinformatics       Date:  2015-03-03       Impact factor: 6.937

4.  Single-residue posttranslational modification sites at the N-terminus, C-terminus or in-between: To be or not to be exposed for enzyme access.

Authors:  Fernanda L Sirota; Sebastian Maurer-Stroh; Birgit Eisenhaber; Frank Eisenhaber
Journal:  Proteomics       Date:  2015-07       Impact factor: 3.984

5.  Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks.

Authors:  Henry M Dewhurst; Matthew P Torres
Journal:  PLoS One       Date:  2017-02-22       Impact factor: 3.240

6.  Systematic identification of phosphorylation-mediated protein interaction switches.

Authors:  Matthew J Betts; Oliver Wichmann; Mathias Utz; Timon Andre; Evangelia Petsalaki; Pablo Minguez; Luca Parca; Frederick P Roth; Anne-Claude Gavin; Peer Bork; Robert B Russell
Journal:  PLoS Comput Biol       Date:  2017-03-27       Impact factor: 4.475

7.  Dynamic anticipation by Cdk2/Cyclin A-bound p27 mediates signal integration in cell cycle regulation.

Authors:  Maksym Tsytlonok; Hugo Sanabria; Yuefeng Wang; Suren Felekyan; Katherina Hemmen; Aaron H Phillips; Mi-Kyung Yun; M Brett Waddell; Cheon-Gil Park; Sivaraja Vaithiyalingam; Luigi Iconaru; Stephen W White; Peter Tompa; Claus A M Seidel; Richard Kriwacki
Journal:  Nat Commun       Date:  2019-04-11       Impact factor: 14.919

8.  Prioritizing functional phosphorylation sites based on multiple feature integration.

Authors:  Qingyu Xiao; Benpeng Miao; Jie Bi; Zhen Wang; Yixue Li
Journal:  Sci Rep       Date:  2016-04-19       Impact factor: 4.379

Review 9.  Exploring the potential of public proteomics data.

Authors:  Marc Vaudel; Kenneth Verheggen; Attila Csordas; Helge Raeder; Frode S Berven; Lennart Martens; Juan A Vizcaíno; Harald Barsnes
Journal:  Proteomics       Date:  2015-12-15       Impact factor: 3.984

10.  Dissecting Structure-Encoded Determinants of Allosteric Cross-Talk between Post-Translational Modification Sites in the Hsp90 Chaperones.

Authors:  Gabrielle Stetz; Amanda Tse; Gennady M Verkhivker
Journal:  Sci Rep       Date:  2018-05-02       Impact factor: 4.379

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