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A Visualization and Inference System for Protein-Protein Interaction  

Lee Mi-Kyung (상명대학교 공학기술연구소)
Kim Ki-Bong (상명대학교 생명정보공학과)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.12, 2004 , pp. 1602-1610 More about this Journal
Abstract
As various genome projects have produced enormous amount of biosequence data, functional sequence analysis in terms of tile nucleic acid and protein becomes very significant. In functional genomics and proteomics, the functional analysis of each individual gene and protein remains a big challenge. Contrary to traditional studies, which regard proteins as not components of a whole protein interaction network but individual entities, recent studies have focused on examining functions and roles of each individual gene and protein in view of a whole life system. In this regard, it has been recognized as an appropriate method to analyze protein function on the basis of synthetic information of its interaction and domain modularity. In this context, this paper introduces the PIVS (Protein-protein interaction Inference & Visualization System), which predicts the interaction relationship of input proteins by taking advantage of information on homology degree, domain modules which input sequences contain, and protein interaction relationship. The information on domain modules can increase the accuracy of the function and interaction relationship analysis in terms of the specificity and sensitivity.
Keywords
Genome; Protein interaction; Domain; PIVS;
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