Predicting protein-protein interactions by weighted pseudo amino acid composition
by Yunus Emre Göktepe; İlhan İlhan; Şirzat Kahramanlı
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 15, No. 3, 2016

Abstract: Protein-protein interactions hold very important roles in biological processes. Prediction of PPIs is important for understanding these processes. In this context, substantive representations of proteins are needed during the process of interaction prediction in order to achieve higher prediction accuracy. In this paper, a new feature representation method, based on the concept of Chou's pseudo amino acid composition, was introduced. It is composed of the weighted amino acid composition information and the correlation factors of the protein. Finally, an SVM classification model was constructed for predicting PPIs. Experimental results exhibit that our method precedes those previously published in the literature.

Online publication date: Mon, 20-Jun-2016

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