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Author(s)
     S.Pitre , M.Hooshyar, A.Schoenrock, B.Samanfar, M.Jessulat, J.R.Green, F.Dehne, A.Golshani
Title
     Short co-occurring polypeptide regions can predict global protein interaction maps
Publication Name
     Scientific Reports
Publication Type
     Journal
Publisher
     
Place
     
Editor(s)
     
Number
      239
School
     
Volume
      2
Chapter
     
Pages
     
Other Publication Information
     
Publication Year
     2012
Abstract
     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 (∼9,000 PPIs) and C. elegans (∼37,500 PPIs).
Keywords
     PPIs, polypeptide interactions, map protein interactions
Website
     http://www.nature.com/srep/2012/120130/srep00239/full/srep00239.html
Paper Status
     Published
DOI / Publication ID
     10.1038/srep00239



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