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PLoS One. 2012;7(2):e31826. doi: 10.1371/journal.pone.0031826. Epub 2012 Feb 14.

HIPPIE: Integrating protein interaction networks with experiment based quality scores.

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1
Max Delbrück Center for Molecular Medicine, Berlin, Germany.

Abstract

Protein function is often modulated by protein-protein interactions (PPIs) and therefore defining the partners of a protein helps to understand its activity. PPIs can be detected through different experimental approaches and are collected in several expert curated databases. These databases are used by researchers interested in examining detailed information on particular proteins. In many analyses the reliability of the characterization of the interactions becomes important and it might be necessary to select sets of PPIs of different confidence levels. To this goal, we generated HIPPIE (Human Integrated Protein-Protein Interaction rEference), a human PPI dataset with a normalized scoring scheme that integrates multiple experimental PPI datasets. HIPPIE's scoring scheme has been optimized by human experts and a computer algorithm to reflect the amount and quality of evidence for a given PPI and we show that these scores correlate to the quality of the experimental characterization. The HIPPIE web tool (available at http://cbdm.mdc-berlin.de/tools/hippie) allows researchers to do network analyses focused on likely true PPI sets by generating subnetworks around proteins of interest at a specified confidence level.

PMID:
22348130
PMCID:
PMC3279424
DOI:
10.1371/journal.pone.0031826
[Indexed for MEDLINE]
Free PMC Article
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