Reconstruction of human protein interolog network using evolutionary conserved network

Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of information about experimental protein-protein interactions and other protein features on the Internet enables human protein-protein interactions to be computationally predicted from co-evolution events (interolog). This study also considers other protein interaction features, including sub-cellular localization, tissue-specificity, the cell-cycle stage and domain-domain combination. Computational methods need to be developed to integrate these heterogeneous biological data to facilitate the maximum accuracy of the human protein interaction prediction. Results: This study proposes a relative conservation score by finding maximal quasi-cliques in protein interaction networks, and considering other interaction features to formulate a scoring method. The scoring method can be adopted to discover which protein p...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Tao-Wei Huang, Chung-Yen Lin, Cheng-Yan Kao
• Keywords: BMCBI 2007, Human Protein-protein Interactions, Protein Pairs, Protein-protein Interactions