Evidence map›Paper›PMID 18389064›Full record

ArticlePLoS computational biology2008

Genome-wide prediction of SH2 domain targets using structural information and the FoldX algorithm.

Ignacio E Sánchez, Pedro Beltrao, Francois Stricher, Joost Schymkowitz, Jesper Ferkinghoff-Borg, Frederic Rousseau, Luis Serrano

Abstract read
In one paragraph

Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Article
  7. FoldX as Protein Engineering Tool: Better Than Random Based Approaches?Computational and structural biotechnology journal · 2018
    Review
  8. Article
  9. AB-Bind: Antibody binding mutational database for computational affinity predictions.Protein science : a publication of the Protein Society · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  20. Article
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

7 authors.

Ignacio E SánchezEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Pedro Beltrao
Francois Stricher
Joost Schymkowitz
Jesper Ferkinghoff-Borg
Frederic Rousseau
Luis Serrano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current experiments likely cover only a fraction of all protein-protein interactions. Here, we developed a method to predict SH2-mediated protein-protein interactions using the structure of SH2-phosphopeptide complexes and the FoldX algorithm. We show that our approach performs similarly to experimentally derived consensus sequences and substitution matrices at predicting known in vitro and in vivo targets of SH2 domains. We use our method to provide a set of high-confidence interactions for human SH2 domains with known structure filtered on secondary structure and phosphorylation state. We validated the predictions using literature-derived SH2 interactions and a probabilistic score obtained from a naive Bayes integration of information on coexpression, conservation of the interaction in other species, shared interaction partners, and functions. We show how our predictions lead to a new hypothesis for the role of SH2 domains in signaling.

Indexed as

AlgorithmsSoftwaresrc Homology DomainsAmino Acid SequenceBinding SitesChromosome MappingMolecular Sequence DataProtein BindingProtein Interaction MappingSequence Analysis, Proteinsrc-Family Kinasessrc-Family Kinases

Identifiers

PMID18389064
PMCPMC2271153

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.