Evidence map›Paper›PMID 23028270›Full record

ArticlePLoS computational biology2012

What evidence is there for the homology of protein-protein interactions?

Anna C F Lewis, Nick S Jones, Mason A Porter, Charlotte M Deane

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Xeroderma pigmentosum A homolog fromJournal of biosciences · 2021
    Article
  5. Integration of Heterogeneous Experimental Data Improves Global Map of Human Protein Complexes.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2019
    Article
  6. Article
  7. Frontiers in immunology · 2018
    Article
  8. Cell cycle progression in Caulobacter requires a nucleoid-associated protein with high AT sequence recognition.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Alignment-free protein interaction network comparison.Bioinformatics (Oxford, England) · 2014
    Article
  14. Using biological networks to improve our understanding of infectious diseases.Computational and structural biotechnology journal · 2014
    Review
  15. Article
  16. Synthetic genetic array screen identifies PP2A as a therapeutic target in Mad2-overexpressing tumors.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  17. Article
  18. Article
  19. Review
  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

4 authors.

Anna C F LewisDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Nick S Jones
Mason A Porter
Charlotte M Deane

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

The notion that sequence homology implies functional similarity underlies much of computational biology. In the case of protein-protein interactions, an interaction can be inferred between two proteins on the basis that sequence-similar proteins have been observed to interact. The use of transferred interactions is common, but the legitimacy of such inferred interactions is not clear. Here we investigate transferred interactions and whether data incompleteness explains the lack of evidence found for them. Using definitions of homology associated with functional annotation transfer, we estimate that conservation rates of interactions are low even after taking interactome incompleteness into account. For example, at a blastp E-value threshold of 10(-70), we estimate the conservation rate to be about 11 % between S. cerevisiae and H. sapiens. Our method also produces estimates of interactome sizes (which are similar to those previously proposed). Using our estimates of interaction conservation we estimate the rate at which protein-protein interactions are lost across species. To our knowledge, this is the first such study based on large-scale data. Previous work has suggested that interactions transferred within species are more reliable than interactions transferred across species. By controlling for factors that are specific to within-species interaction prediction, we propose that the transfer of interactions within species might be less reliable than transfers between species. Protein-protein interactions appear to be very rarely conserved unless very high sequence similarity is observed. Consequently, inferred interactions should be used with care.

Indexed as

AlgorithmsDatabases, ProteinSequence Homology, Amino AcidAmino Acid SequenceMolecular Sequence DataProtein Interaction MappingProteinsSequence AlignmentProteins

Identifiers

PMID23028270
PMCPMC3447968

What OpenQuestion 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 OpenQuestion graph.