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10.1186/s12859-017-1871-x

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suck abstract from ncbi


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pmid29141584      BMC+Bioinformatics 2017 ; 18 (ä): ä
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  • SPRINT: ultrafast protein-protein interaction prediction of the entire human interactome #MMPMID29141584
  • Li Y; Ilie L
  • BMC Bioinformatics 2017[]; 18 (ä): ä PMID29141584show ga
  • Background: Proteins perform their functions usually by interacting with other proteins. Predicting which proteins interact is a fundamental problem. Experimental methods are slow, expensive, and have a high rate of error. Many computational methods have been proposed among which sequence-based ones are very promising. However, so far no such method is able to predict effectively the entire human interactome: they require too much time or memory. Results: We present SPRINT (Scoring PRotein INTeractions), a new sequence-based algorithm and tool for predicting protein-protein interactions. We comprehensively compare SPRINT with state-of-the-art programs on seven most reliable human PPI datasets and show that it is more accurate while running orders of magnitude faster and using very little memory. Conclusion: SPRINT is the only sequence-based program that can effectively predict the entire human interactome: it requires between 15 and 100 min, depending on the dataset. Our goal is to transform the very challenging problem of predicting the entire human interactome into a routine task. Availability: The source code of SPRINT is freely available from https://github.com/lucian-ilie/SPRINT/ and the datasets and predicted PPIs from www.csd.uwo.ca/faculty/ilie/SPRINT/. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-017-1871-x) contains supplementary material, which is available to authorized users.
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