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Published in:
2014 | OriginalPaper | Chapter
Mining Inhibition Pathways for Protein Kinases on Skeletal Muscle
Authors : Qingfeng Chen, Baoshan Chen, Chengqi Zhang
Published in: Intelligent Strategies for Pathway Mining
Publisher: Springer International Publishing
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The former two chapters propose approaches to discover positive regulation patterns of protein kinases in signal transduction. However, a deep study into the degree of activation and inhibition of catalytic and regulatory subunits of protein kinases, assists in understanding their profound effect on a cell. Especially, the inhibitors of kinase activity are a frequent cause of diseases, where kinases participate many aspects that control cell growth, movement and death. Thus, it is critical to discover the inhibition pathways for protein kinases. This chapter aims to investigate the potential inhibitive correlation between the subunit isoforms of AMP-activated protein kinase (AMPK), and the stimulus factors by using negative association rule mining and mutual information, respectively. The obtained rules not only prompt a comprehensive understanding of signalling pathways of protein kinase and indicate an attractive pharmacological target for disease treatment.