Evidence map›Paper›PMID 18463090›Full record

ArticleMolecular & cellular proteomics : MCP2008

GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy.

Yu Xue, Jian Ren, Xinjiao Gao, Changjiang Jin, Longping Wen, Xuebiao Yao

Abstract readEvaluation Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 357 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
357citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

357 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2016
    Pooled it
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  10. Omic AI reveals new autophagy regulators from the Atg1 interactome inFrontiers in cell and developmental biology · 2025
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  11. Kinase-substrate prediction using an autoregressive model.Computational and structural biotechnology journal · 2025
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  20. Review

297 more citing papers are in PubMed but not listed here.

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

6 authors.

Yu XueHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China.
Jian Ren
Xinjiao Gao
Changjiang Jin
Longping Wen
Xuebiao Yao

Funding

The function of ezrin in stimulus-coupled acid secretionR01DK056292 · NIDDK · UNIVERSITY OF WISCONSIN MADISON · PI YAO, XUEBIAO · 1999 to 2012
$2.5M
NIDDK NIH HHS DK56292NIDDK NIH HHS R01 DK056292
6 · The paper itself

Abstract

Identification of protein phosphorylation sites with their cognate protein kinases (PKs) is a key step to delineate molecular dynamics and plasticity underlying a variety of cellular processes. Although nearly 10 kinase-specific prediction programs have been developed, numerous PKs have been casually classified into subgroups without a standard rule. For large scale predictions, the false positive rate has also never been addressed. In this work, we adopted a well established rule to classify PKs into a hierarchical structure with four levels, including group, family, subfamily, and single PK. In addition, we developed a simple approach to estimate the theoretically maximal false positive rates. The on-line service and local packages of the GPS (Group-based Prediction System) 2.0 were implemented in Java with the modified version of the Group-based Phosphorylation Scoring algorithm. As the first stand alone software for predicting phosphorylation, GPS 2.0 can predict kinase-specific phosphorylation sites for 408 human PKs in hierarchy. A large scale prediction of more than 13,000 mammalian phosphorylation sites by GPS 2.0 was exhibited with great performance and remarkable accuracy. Using Aurora-B as an example, we also conducted a proteome-wide search and provided systematic prediction of Aurora-B-specific substrates including protein-protein interaction information. Thus, the GPS 2.0 is a useful tool for predicting protein phosphorylation sites and their cognate kinases and is freely available on line.

Indexed as

Protein Processing, Post-TranslationalSoftware DesignSoftware ValidationAlgorithmsAmino Acid SequenceAurora Kinase BAurora KinasesCyclic AMP-Dependent Protein KinasesHumansMolecular Sequence DataPhosphorylationProtein Serine-Threonine KinasesProteomeAURKB protein, humanAurora Kinase BAurora KinasesCyclic AMP-Dependent Protein KinasesProtein Serine-Threonine KinasesProteome

Identifiers

PMID18463090
PMCPMC2528073

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.