Evidence map›Paper›PMID 28265048›Full record

ArticleMolecular & cellular proteomics : MCP2017

Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates.

Evgeny Kanshin, Sébastien Giguère, Cheng Jing, Mike Tyers, Pierre Thibault

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. The fitness cost of spurious phosphorylation.bioRxiv : the preprint server for biology · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. A Data-Driven Signaling Network Inference Approach for Phosphoproteomics.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Post-translational regulation of plant immunity.Current opinion in plant biology · 2017
    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

5 authors at 3 institutions in 1 country.

Evgeny KanshinFrom the ‡Institute for Research in Immunology and Cancer.
Sébastien GiguèreFrom the ‡Institute for Research in Immunology and Cancer.
Cheng JingFrom the ‡Institute for Research in Immunology and Cancer.
Mike TyersFrom the ‡Institute for Research in Immunology and Cancer, pierre.thibault@umontreal.ca md.tyers@umontreal.ca.
Pierre ThibaultFrom the ‡Institute for Research in Immunology and Cancer, pierre.thibault@umontreal.ca md.tyers@umontreal.ca.
Institute for Research in Immunology and Cancer · CAUniversité de Montréal · CAUniversité du Québec · CA

Funding

BioGRID: An open resource for biological interactions and network analysisR01OD010929 · OD · SINAI HEALTH SYSTEM · PI KARA DOLINSKI, Mike Tyers · 2012 to 2026
$13.9M
BioGRID: an open resource for biological interactions and network analysisR01RR024031 · NCRR · SINAI HEALTH SYSTEM · PI TYERS, MIKE · 2007 to 2011
$3.2M
NCRR NIH HHS R01 RR024031NIH HHS R01 OD010929
6 · The paper itself

Abstract

Mass spectrometry allows quantification of tens of thousands of phosphorylation sites from minute amounts of cellular material. Despite this wealth of information, our understanding of phosphorylation-based signaling is limited, in part because it is not possible to deconvolute substrate phosphorylation that is directly mediated by a particular kinase

Indexed as

Machine LearningAlgorithmsDNA Mutational AnalysisPhosphoproteinsPhosphorylationProtein KinasesProteomicsPyrazolesPyrimidinesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSubstrate Specificity1-tert-butyl-3-naphthalen-1-ylmethyl-1H-pyrazolo(3,4-d)pyrimidin-4-yleminePhosphoproteinsProtein KinasesPyrazolesPyrimidinesSaccharomyces cerevisiae Proteins

Identifiers

PMID28265048
PMCPMC5417821
OpenAlexW2593349649

What OpenQuestion holds

Textmetadata
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.