The protein interactome of Streptococcus pneumoniae and bacterial metainteractomes improve function predictions

S. Wuchty, S. V. Rajagopala, S. M. Blazie, J. R. Parrish, S. Khuri, R. L. Finley, P. Uetz

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The functions of roughly a third of all proteins in Streptococcus pneumoniae, a significant human-pathogenic bacterium, are unknown. Using a yeast twohybrid approach, we have determined more than 2,000 novel protein interactions in this organism. We augmented this network with meta-interactome data that we defined as the pool of all interactions between evolutionarily conserved proteins in other bacteria. We found that such interactions significantly improved our ability to predict a protein's function, allowing us to provide functional predictions for 299 S. pneumoniae proteins with previously unknown functions.

Original languageEnglish (US)
Article numbere00019
JournalmSystems
Volume2
Issue number3
DOIs
StatePublished - May 1 2017

Keywords

  • Functional prediction
  • Protein-protein interactions

ASJC Scopus subject areas

  • Microbiology
  • Physiology
  • Biochemistry
  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Computer Science Applications

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