SGD Paper Help



Lewis AC, et al.  (2012) What evidence is there for the homology of protein-protein interactions? PLoS Comput Biol 8(9):e1002645

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 [Formula: see text]-value threshold of [Formula: see text], we estimate the conservation rate to be about [Formula: see text] 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.

Status: Published Type: Journal Article PubMed ID: 23028270

Topics addressed in this paper

  • To find other papers on a gene and topic, click on the colored ball in the appropriate box.
  • displays other papers with information about that topic for that gene.
  • displays other papers in SGD that are associated with that topic.
    The topic is addressed in these papers but does not describe a specific gene or chromosomal feature.
  • To go to the Locus page for a gene, click on the gene name.
Topics Topics not linked to Genes
Computational analysis yg ball
Omics yg ball

Author Searches

To find contact information or other publications by the authors of this paper, follow these three steps:
  1. (1) Choose an author,
  2. (2) Choose a search parameter,
  3. (3) Click to implement