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

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...

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Autores principales:	Martin H Schaefer, Jean-Fred Fontaine, Arunachalam Vinayagam, Pablo Porras, Erich E Wanker, Miguel A Andrade-Navarro
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/90a977cd48ab464fa1b18f8bd503200a
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spelling	oai:doaj.org-article:90a977cd48ab464fa1b18f8bd503200a2021-11-18T07:28:19ZHIPPIE: Integrating protein interaction networks with experiment based quality scores.1932-620310.1371/journal.pone.0031826https://doaj.org/article/90a977cd48ab464fa1b18f8bd503200a2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22348130/?tool=EBIhttps://doaj.org/toc/1932-6203Protein 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.Martin H SchaeferJean-Fred FontaineArunachalam VinayagamPablo PorrasErich E WankerMiguel A Andrade-NavarroPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31826 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Martin H Schaefer Jean-Fred Fontaine Arunachalam Vinayagam Pablo Porras Erich E Wanker Miguel A Andrade-Navarro HIPPIE: Integrating protein interaction networks with experiment based quality scores.
description	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.
format	article
author	Martin H Schaefer Jean-Fred Fontaine Arunachalam Vinayagam Pablo Porras Erich E Wanker Miguel A Andrade-Navarro
author_facet	Martin H Schaefer Jean-Fred Fontaine Arunachalam Vinayagam Pablo Porras Erich E Wanker Miguel A Andrade-Navarro
author_sort	Martin H Schaefer
title	HIPPIE: Integrating protein interaction networks with experiment based quality scores.
title_short	HIPPIE: Integrating protein interaction networks with experiment based quality scores.
title_full	HIPPIE: Integrating protein interaction networks with experiment based quality scores.
title_fullStr	HIPPIE: Integrating protein interaction networks with experiment based quality scores.
title_full_unstemmed	HIPPIE: Integrating protein interaction networks with experiment based quality scores.
title_sort	hippie: integrating protein interaction networks with experiment based quality scores.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/90a977cd48ab464fa1b18f8bd503200a
work_keys_str_mv	AT martinhschaefer hippieintegratingproteininteractionnetworkswithexperimentbasedqualityscores AT jeanfredfontaine hippieintegratingproteininteractionnetworkswithexperimentbasedqualityscores AT arunachalamvinayagam hippieintegratingproteininteractionnetworkswithexperimentbasedqualityscores AT pabloporras hippieintegratingproteininteractionnetworkswithexperimentbasedqualityscores AT erichewanker hippieintegratingproteininteractionnetworkswithexperimentbasedqualityscores AT miguelaandradenavarro hippieintegratingproteininteractionnetworkswithexperimentbasedqualityscores
_version_	1718423424241500160

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

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