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

Samanfar B, Moteshareie H, Schoenrock A, Hooshyar M, Burnside D, Babu M, Dehne F, Golshani A: Efficient prediction of human protein-protein interactions at a global scale. 4th student/postdoc poster day in computational biology and bioinformatics, 2015, Ottawa, Canada; OISBS, 2015, Mont Tremblant, Canada.

Abstract

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 three months. We predicted 172,132 putative PPIs and demonstrate the usefulness of these predictions through a range of experiments, especially identification of new players involved in translation pathway. We present a comprehensive all-against-all (pair-wise) analysis of the human proteome and study its biological properties. We then demonstrate the accuracy and utility of the MP-PIPE inferred interactome using a range of functional assays including translation fidelity & efficiency analysis, affinity purifications and molecular marker adaptations. The speed and accuracy associated with MP-PIPE can make this a potential prediction tool to study individual human PPI networks (from genomic sequences alone) for personalized medicine.

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