| Summary: | 碩士 === 國立中興大學 === 基因體暨生物資訊學研究所 === 99 === Protein interactions are the basis of organism functions. Through protein interaction studies, we can understand the basic principles of cell activity. Then develop and design drugs for the disease treatment. Protein isoforms is generated by alternative splicing from the same gene. If we have deeply understanding of the interactions of protein isoforms, either in basic or clinical research is very important. In recent years, high-throughput mRNA sequencing (RNA-Seq) provides isoform-level expression data, which helps us further understanding the interactions of protein isoforms.
This study is based on Bayesian probabilistic model to effectively integrate different types of information: the mRNA expression, domain-domain interactions, gene annotation and Orthologous human protein datasets, as the inference evidence of isoform-isoform interaction prediction. Finally, we compared the predicted results with other prediction methods, and attempted to construct complete human isoform-isoform interaction networks.
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