Evidence map›Paper›PMID 25324856›Full record

ReviewFrontiers in genetics2014

Exploiting holistic approaches to model specificity in protein phosphorylation.

Antonio Palmeri, Fabrizio Ferrè, Manuela Helmer-Citterich

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Multiple Site-Specific Phosphorylation of IDPs Monitored by NMR.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  2. Article
  3. Article
  4. Predicting CK2 beta-dependent substrates using linear patterns.Biochemistry and biophysics reports · 2015
    Article
  5. Article
  6. Article
  7. Review
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.

Antonio PalmeriDepartment of Biology, Centre for Molecular Bioinformatics, University of Rome Tor Vergata Rome, Italy.
Fabrizio FerrèDepartment of Biology, Centre for Molecular Bioinformatics, University of Rome Tor Vergata Rome, Italy.
Manuela Helmer-CitterichDepartment of Biology, Centre for Molecular Bioinformatics, University of Rome Tor Vergata Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphate plays a chemically unique role in shaping cellular signaling of all current living systems, especially eukaryotes. Protein phosphorylation has been studied at several levels, from the near-site context, both in sequence and structure, to the crowded cellular environment, and ultimately to the systems-level perspective. Despite the tremendous advances in mass spectrometry and efforts dedicated to the development of ad hoc highly sophisticated methods, phosphorylation site inference and associated kinase identification are still unresolved problems in kinome biology. The sequence and structure of the substrate near-site context are not sufficient alone to model the in vivo phosphorylation rules, and they should be integrated with orthogonal information in all possible applications. Here we provide an overview of the different contexts that contribute to protein phosphorylation, discussing their potential impact in phosphorylation site annotation and in predicting kinase-substrate specificity.

Indexed as

cellular signalingkinase-peptide specificitykinase-substrate specificityphosphorylation contextphosphorylation predictionsignaling networkssubstrate recruitment

Identifiers

PMID25324856
PMCPMC4179730

What OpenQuestion holds

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Registered trials

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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.