Evidence map›Paper›PMID 16445868›Full record

ArticleBMC bioinformatics2006

Protein kinases associated with the yeast phosphoproteome.

Ross I Brinkworth, Alan L Munn, Bostjan Kobe

Abstract read
In one paragraph

Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  11. Understanding protein phosphorylation on a systems level.Briefings in functional genomics · 2010
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ross I BrinkworthSchool of Molecular and Microbial Sciences, University of Queensland, Brisbane 4072, Australia. r.brinkworth1@uq.edu.au
Alan L Munn
Bostjan Kobe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein phosphorylation is an extremely important mechanism of cellular regulation. A large-scale study of phosphoproteins in a whole-cell lysate of Saccharomyces cerevisiae has previously identified 383 phosphorylation sites in 216 peptide sequences. However, the protein kinases responsible for the phosphorylation of the identified proteins have not previously been assigned.

resultsWe used Predikin in combination with other bioinformatic tools, to predict which of 116 unique protein kinases in yeast phosphorylates each experimentally determined site in the phosphoproteome. The prediction was based on the match between the phosphorylated 7-residue sequence and the predicted substrate specificity of each kinase, with the highest weight applied to the residues or positions that contribute most to the substrate specificity. We estimated the reliability of the predictions by performing a parallel prediction on phosphopeptides for which the kinase has been experimentally determined.

conclusionThe results reveal that the functions of the protein kinases and their predicted phosphoprotein substrates are often correlated, for example in endocytosis, cytokinesis, transcription, replication, carbohydrate metabolism and stress response. The predictions link phosphoproteins of unknown function with protein kinases with known functions and vice versa, suggesting functions for the uncharacterized proteins. The study indicates that the phosphoproteins and the associated protein kinases represented in our dataset have housekeeping cellular roles; certain kinases are not represented because they may only be activated during specific cellular responses. Our results demonstrate the utility of our previously reported protein kinase substrate prediction approach (Predikin) as a tool for establishing links between kinases and phosphoproteins that can subsequently be tested experimentally.

Indexed as

Amino Acid SequenceFungal ProteinsMolecular Sequence DataPhosphoproteinsPhosphorylationProtein Interaction MappingProtein KinasesProteomeSaccharomyces cerevisiaeSequence AlignmentSequence Analysis, ProteinSubstrate SpecificityFungal ProteinsPhosphoproteinsProtein KinasesProteome

Identifiers

PMID16445868
PMCPMC1373605

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.