PRIN, a predicted rice interactome network

Background: Protein-protein interactions play a fundamental role in elucidating the molecular mechanisms of biomolecular function, signal transductions and metabolic pathways of living organisms. Although high-throughput technologies such as yeast two-hybrid system and affinity purification followed by mass spectrometry are widely used in model organisms, the progress of protein-protein interactions detection in plants is rather slow. With this motivation, our work presents a computational approach to predict protein-protein interactions in Oryza sativa. Results: To better understand the interactions of proteins in Oryza sativa, we have developed PRIN, a Predicted Rice Interactome Network. Protein-protein interaction data of PRIN are based on the interologs of six model organisms where large-scale protein-protein interaction experiments have been applied: yeast (Saccharomyces cerevisiae), worm (Caenorhabditis elegans), fruit fly (Drosophila melanogaster), human (Homo sapiens), Escheri...

• Type: Journal
• Year: 2011
• Where: BMCBI
• Authors: Haibin Gu, Pengcheng Zhu, Yinming Jiao, Yijun Meng, Ming Chen
• Keywords: Biometrics, BMCBI 2011, Escherichia Coli K12, Gene Expression Data, Protein Protein Interactions