Predicting Three-way Interactions of Proteins from Expression Profiles Based on Correlation Coefficient

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概要

• 論文の詳細を見る

• In this study, we propose a new method to predict three-way interactions among proteins based on correlation coefficient of protein expression profiles. Although three-way interactions have not been studied well, this kind of interactions are important to understand the system of life. Previous studies reported the three-way interactions that based on switching mechanisms, in which a property or an expression level of a protein switches the mechanism of interactions between other two proteins. In this paper, we proposed a new method to predict three-way interactions based on the model in which A and B work together to effect on the expression level of C. We present the algorithm to predict the combinations of three proteins that have the three-way interaction, and evaluate it using our real proteome data.

• 2012-06-29

著者

• Masaru Nakagawa

  Faculty of Systems Engineering, Wakayama University

• Atsushi Takemoto

  Graduate School of Biology-Oriented Science and Technology, Kinki University

• Etsuko Inoue

  Faculty of Systems Engineering, Wakayama University

• Sho Murakami

  Graduate School of Systems Engineering, Wakayama University|Presently with NTT Data Corporation

• Takatoshi Fujiki

  Graduate School of Systems Engineering, Wakayama University

• Takuya Yoshihiro

  Faculty of Systems Engineering, Wakayama University

• Haruka Ikegami

  Graduate School of Biology-Oriented Science and Technology, Kinki University

• Kazuya Matsumoto

  Graduate School of Biology-Oriented Science and Technology, Kinki University

関連論文

• Predicting Three-way Interactions of Proteins from Expression Profiles Based on Correlation Coefficient
• Adaptive Load Balancing Based on IP Fast Reroute to Avoid Congestion Hot-spots (Preprint)

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