A Protein-Protein Interaction Prediction Method Embracing Intra-protein Domain Cohesion Information

Recently, many computational methods for predicting protein-protein interaction (PPI) have been developed by utilizing domain-domain interaction or associated information. However, most of the methods lack of reflecting the collaboration effect of multiple domains to the prediction of PPI. In this paper, we develop a computational model that considers not only inter relationship between protein pair but also the intradomain functional cohesion effect in PPI. In the computational model, a value assigning method to reflect the intra and inter collaboration devised and the computed values are stored in Interaction Significance (IS) matrix. Then an equation for PPI prediction is devised on IS matrix. For S. cerevisiae PPI data from DIP, MINT and IntAct, domain data from Pfam-A, the prediction method achieved 50.19% and 84.57% sensitivity and specificity respectively. Here we also observed that embracing intra-domain effect gives positive result on PPI prediction by inspection of interacti...

• Type: Conference
• Year: 2009
• Where: BIBM
• Authors: Woo-Hyuk Jang, Suk Hoon Jung, Bo-ra Hyun, Dong-Soo Han
• Keywords: BIBM 2009, Bioinformatics, Cerevisiae Ppi Data, Computational Model, PPI Prediction