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 |
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Format: | Artikel |
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. |
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ISSN: | 1471-2105 1471-2105 |
DOI: | 10.1186/s12859-014-0383-1 |