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ABSTRACT: 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 conserva
SUBMITTER: Huang TW
PROVIDER: S-EPMC1885812 | biostudies-literature | 2007 May
REPOSITORIES: biostudies-literature