Deciphering Protein Network In Systems Biology Approach Lin, C. Y12., Lin, F.K1., Lin, C.H1., Cho, C.S1., Chen C.L1., Lo, C.Z1., Hsiung, C. A1. 1Division of Bioinformatics and Biostatistics, National Health Research Institutes, Taiwan 2Institute of Information Science, Academia Sinica, Taiwan Following the completion of full genome sequences for several model organisms, protein interaction networks of some viral, prokaryotic and eukaryotic species have been established gradually. Many studies have already elucidated that the functional related proteins of different species were regulated in the similar mechanisms. Via the strategies based on evolutionary conserved domains among living organisms, it will be possible to establish a model to convert protein - protein interactions to domain – domain interactions with a strict statistical evaluating mechanism. According to this model, the novel interactions in inter-species and intra-species will be discovered with statistically significant probabilities. Based on the composing of Apache, PHP, MySQL, Linux, open source software, The Helicobacter pylori and other putative protein interactions databases will be constructed with interactive visualization and further annotations. The interacting partners will annotate those proteins without functional annotations. To present the enormous amount of protein interactions in a way of protein networking maps, we provide a succinct yet comprehensive visualization tool with detailed annotation information from Genbank, GO, and KEGG, as well as even spatiotemporal information. The query filters of integrated web database made by statistical estimations and biological meanings will encourage the research community to discover the most possible interactions for further studies and decipher the functional roles of these proteins in the complex network. References: Lin, C. Y., Chen C.L., Cho, C.S., Wang L.M., Chang C. M., Chen P. Y., Lo, C.Z., Hsiung, C. A. 2005. hp-DPI: Helicobacter pylori Database of Protein Interactomes, A Combined Experimental and Inferring Interactions. Bioinformatics, 21: 1288-1290. (Advance Access published on October 28, 2004. doi:10.1093/bioinformatics/bti101) (NSC92 – 3112 –B – 400 - 007-Y) (http://dpi.nhri.org.tw/hp/)(SCI/ 6.701)