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Efficient prediction of human protein-protein interactions at a global scale
Carleton University, Ottawa, Canada.
Carleton University, Ottawa, Canada.
Carleton University, Ottawa, Canada.
Carleton University, Ottawa, Canada.
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2014 (English)In: BMC bioinformatics, ISSN 1471-2105, Vol. 15, no 1, 383- p.Article in journal (Refereed) Published
Abstract [en]

BackgroundOur knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods.ResultsOn the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network within 3 months. With a recall of 23% at a precision of 82.1%, we predicted 172,132 putative PPIs. We demonstrate the usefulness of these predictions through a range of experiments.ConclusionsThe speed and accuracy associated with MP-PIPE can make this a potential tool to study individual human PPI networks (from genomic sequences alone) for personalized medicine.

Place, publisher, year, edition, pages
BioMed Central, 2014. Vol. 15, no 1, 383- p.
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-114135DOI: 10.1186/s12859-014-0383-1ISI: 000347647900001PubMedID: 25492630OAI: oai:DiVA.org:liu-114135DiVA: diva2:787556
Available from: 2015-02-10 Created: 2015-02-10 Last updated: 2015-04-10Bibliographically approved

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Wang, HuiBarrenäs, FredrikBenson, Mikael

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Wang, HuiBarrenäs, FredrikBenson, Mikael
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Division of Clinical SciencesFaculty of Health SciencesAllergy CenterDepartment of Paediatrics in Linköping
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • sv-SE
  • Other locale
More languages
Output format
  • html
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