The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions

ABSTRACT The functions of roughly a third of all proteins in Streptococcus pneumoniae, a significant human-pathogenic bacterium, are unknown. Using a yeast two-hybrid approach, we have determined more than 2,000 novel protein interactions in this organism. We augmented this network with meta-interac...

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Autores principales: S. Wuchty, S. V. Rajagopala, S. M. Blazie, J. R. Parrish, S. Khuri, R. L. Finley, P. Uetz
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Publicado: American Society for Microbiology 2017
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spelling oai:doaj.org-article:c3a80c6d8c954f948014cfc32616baed2021-12-02T19:45:29ZThe Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions10.1128/mSystems.00019-172379-5077https://doaj.org/article/c3a80c6d8c954f948014cfc32616baed2017-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00019-17https://doaj.org/toc/2379-5077ABSTRACT The functions of roughly a third of all proteins in Streptococcus pneumoniae, a significant human-pathogenic bacterium, are unknown. Using a yeast two-hybrid 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. IMPORTANCE Identification of protein interactions in bacterial species can help define the individual roles that proteins play in cellular pathways and pathogenesis. Very few protein interactions have been identified for the important human pathogen S. pneumoniae. We used an experimental approach to identify over 2,000 new protein interactions for S. pneumoniae, the most extensive interactome data for this bacterium to date. To predict protein function, we used our interactome data augmented with interactions from other closely related bacteria. The combination of the experimental data and meta-interactome data significantly improved the prediction results, allowing us to assign possible functions to a large number of poorly characterized proteins.S. WuchtyS. V. RajagopalaS. M. BlazieJ. R. ParrishS. KhuriR. L. FinleyP. UetzAmerican Society for Microbiologyarticlefunctional predictionprotein-protein interactionsMicrobiologyQR1-502ENmSystems, Vol 2, Iss 3 (2017)
institution DOAJ
collection DOAJ
language EN
topic functional prediction
protein-protein interactions
Microbiology
QR1-502
spellingShingle functional prediction
protein-protein interactions
Microbiology
QR1-502
S. Wuchty
S. V. Rajagopala
S. M. Blazie
J. R. Parrish
S. Khuri
R. L. Finley
P. Uetz
The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions
description ABSTRACT The functions of roughly a third of all proteins in Streptococcus pneumoniae, a significant human-pathogenic bacterium, are unknown. Using a yeast two-hybrid 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. IMPORTANCE Identification of protein interactions in bacterial species can help define the individual roles that proteins play in cellular pathways and pathogenesis. Very few protein interactions have been identified for the important human pathogen S. pneumoniae. We used an experimental approach to identify over 2,000 new protein interactions for S. pneumoniae, the most extensive interactome data for this bacterium to date. To predict protein function, we used our interactome data augmented with interactions from other closely related bacteria. The combination of the experimental data and meta-interactome data significantly improved the prediction results, allowing us to assign possible functions to a large number of poorly characterized proteins.
format article
author S. Wuchty
S. V. Rajagopala
S. M. Blazie
J. R. Parrish
S. Khuri
R. L. Finley
P. Uetz
author_facet S. Wuchty
S. V. Rajagopala
S. M. Blazie
J. R. Parrish
S. Khuri
R. L. Finley
P. Uetz
author_sort S. Wuchty
title The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions
title_short The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions
title_full The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions
title_fullStr The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions
title_full_unstemmed The Protein Interactome of <named-content content-type="genus-species">Streptococcus pneumoniae</named-content> and Bacterial Meta-interactomes Improve Function Predictions
title_sort protein interactome of <named-content content-type="genus-species">streptococcus pneumoniae</named-content> and bacterial meta-interactomes improve function predictions
publisher American Society for Microbiology
publishDate 2017
url https://doaj.org/article/c3a80c6d8c954f948014cfc32616baed
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