Efficient prediction of human protein-protein interactions at a global scale

Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods. On the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network...

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Veröffentlicht in:BMC bioinformatics 2014-12, Vol.15 (1), p.383-383, Article 383
Hauptverfasser: Schoenrock, Andrew, Samanfar, Bahram, Pitre, Sylvain, Hooshyar, Mohsen, Jin, Ke, Phillips, Charles A, Wang, Hui, Phanse, Sadhna, Omidi, Katayoun, Gui, Yuan, Alamgir, Md, Wong, Alex, Barrenäs, Fredrik, Babu, Mohan, Benson, Mikael, Langston, Michael A, Green, James R, Dehne, Frank, Golshani, Ashkan
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Sprache:eng
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Zusammenfassung:Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods. On 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. The 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.
ISSN:1471-2105
1471-2105
DOI:10.1186/s12859-014-0383-1