Predicting protein-protein interactions by weighted pseudo amino acid composition
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inderscience Enterprises Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Protein-Protein Interaction, Protein Feature Extraction, Pseudo Amino Acid Composition, Support Vector Machines
Kaynak
International Journal Of Data Mining And Bioinformatics
WoS Q Değeri
Q4
Scopus Q Değeri
Q4
Cilt
15
Sayı
3
