A goal of the post-genomics era has been to elucidate a detailed global map of protein-protein interactions (PPIs) within a cell. Here, we show that the presence of co-occurring short polypeptide sequences between interacting protein partners appears to be conserved across different organisms. We present an algorithm to automatically generate PPI prediction method parameters for various organisms and illustrate that global PPIs can be predicted from previously reported PPIs within the same or a different organism using protein primary sequences. The PPI prediction code is further accelerated through the use of parallel multi-core programming, which improves its usability for large scale or proteome-wide PPI prediction. We predict and analyze hundreds of novel human PPIs, experimentally confirm protein functions and importantly predict the first genome-wide PPI maps for S. pombe (∼1/49,000 PPIs) and C. elegans (∼1/437,500 PPIs).

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Persistent URL dx.doi.org/10.1038/srep00239
Journal Scientific Reports
Citation
Pitre, S, Hooshyar, M. (Mohsen), Schoenrock, A. (Andrew), Samanfar, B. (Bahram), Jessulat, M. (Matthew), Green, J, … Golshani, A. (2012). Short co-occurring polypeptide regions can predict global protein interaction maps. Scientific Reports, 2. doi:10.1038/srep00239