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Open Access. Powered by Scholars. Published by Universities.®

The University of Southern Mississippi

2010

Bayesian probabilistic model

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Full-Text Articles in Life Sciences

Global Protein Interactome Exploration Through Mining Genome-Scale Data In Arabidopsis Thaliana, Feng Xu, Guang Li, Chen Zhao, Yuhua Li, Peng Li, Jian Cui, Youping Deng, Tieliu Shi Nov 2010

Global Protein Interactome Exploration Through Mining Genome-Scale Data In Arabidopsis Thaliana, Feng Xu, Guang Li, Chen Zhao, Yuhua Li, Peng Li, Jian Cui, Youping Deng, Tieliu Shi

Faculty Publications

Background

Many essential cellular processes, such as cellular metabolism, transport, cellular metabolism and most regulatory mechanisms, rely on physical interactions between proteins. Genome-wide protein interactome networks of yeast, human and several other animal organisms have already been established, but this kind of network reminds to be established in the field of plant.

Results

We first predicted the protein protein interaction in Arabidopsis thaliana with methods, including ortholog, SSBP, gene fusion, gene neighbor, phylogenetic profile, coexpression, protein domain, and used Naïve Bayesian approach next to integrate the results of these methods and text mining data to build a genome-wide protein interactome …