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

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.