title: Open source tool for prediction of genome wide protein-protein interaction network based on ortholog information.
abstract: BACKGROUND
  Protein-protein interactions are crucially important for cellular processes. Knowledge of these interactions improves the understanding of cell cycle, metabolism, signaling, transport, and secretion. Information about interactions can hint at molecular causes of diseases, and can provide clues for new therapeutic approaches. Several (usually expensive and time consuming) experimental methods can probe protein - protein interactions. Data sets, derived from such experiments make the development of prediction methods feasible, and make the creation of protein-protein interaction network predicting tools possible.
  
  
  METHODS
  Here we report the development of a simple open source program module (OpenPPI_predictor) that can generate a putative protein-protein interaction network for target genomes. This tool uses the orthologous interactome network data from a related, experimentally studied organism.
  
  
  RESULTS
  Results from our predictions can be visualized using the Cytoscape visualization software, and can be piped to downstream processing algorithms. We have employed our program to predict protein-protein interaction network for the human parasite roundworm Brugia malayi, using interactome data from the free living nematode Caenorhabditis elegans.
  
  
  BACKGROUND
  The OpenPPI_predictor source code is available from http://tools.neb.com/~posfai/.
authors.affiliation: New England Biolabs, Ipswich, MA, USA. posfai@neb.com.
authors.forename: Chandra Sekhar
authors.initials: CS
authors.lastname: Pedamallu
authors.forename: Janos
authors.initials: J
authors.lastname: Posfai