基于相关系数的表达谱预测蛋白质的三方相互作用

Q3 Biochemistry, Genetics and Molecular Biology
E. Inoue, S. Murakami, T. Fujiki, Takuya Yoshihiro, Atsushi Takemoto, Haruka Ikegami, Kazuya Matsumoto, Masaru Nakagawa
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引用次数: 5

摘要

在这项研究中,我们提出了一种基于蛋白表达谱相关系数来预测蛋白间三方相互作用的新方法。虽然三方相互作用还没有得到很好的研究,但这种相互作用对理解生命系统很重要。先前的研究报道了基于开关机制的三方相互作用,其中一个蛋白质的特性或表达水平改变了其他两个蛋白质之间的相互作用机制。在本文中,我们提出了一种基于a和B共同作用影响C表达水平的模型来预测三向相互作用的新方法。我们提出了一种算法来预测具有三向相互作用的三种蛋白质的组合,并使用我们的真实蛋白质组数据对其进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 corre- lation coe ffi cient 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 e ff ect 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.
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来源期刊
IPSJ Transactions on Bioinformatics
IPSJ Transactions on Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
1.90
自引率
0.00%
发文量
3
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