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Prediction of Unannotated Proteins from a Protein Interaction Network Filtered by Using Localization and Domains in Yeast

Jea Woon RyuDivision of Life Sciences , Chungbuk National University , Cheongju 361-763Hak Yong KimDivision of Life Sciences , Chungbuk National University , Cheongju 361-763Tae Ho KangPhysics Program andJae Soo YooDepartment of Computer and Communication Engineering , Chungbuk National University , Cheongju 361-763Jean S. ChungDepartment of Computer and Communication Engineering , Chungbuk National University , Cheongju 361-763
2007en
ABI

Annotatsiya

We have constructed and analyzed a protein-protein interaction network from the Saccharomyces cerevisiae genome by using public genomic sequences.This provides a starting point for the construction of protein network analysis, leading to a better understanding of the functions of uncharacterized proteins and of the cellular functions of modules the networks.We acquired a highly filtered reliable protein interaction database through filtering by using subcellular localization and by using protein domains.The protein-protein interaction network constructed from the highly filtered protein interaction database shows scale-free and hierarchical properties as most networks in complex systems.For the prediction of unannotated proteins, we employed a modified Chi-square method based on neighborhood counting within structural modules and we predicted and elucidated the functions of the 98 unannotated proteins with high certainty.

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