Classifying ordered-disordered proteins using linear and kernel support vector machines
TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI, cilt.41, sa.6, ss.431-436, 2016 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 41 Sayı: 6
- Basım Tarihi: 2016
- Doi Numarası: 10.1515/tjb-2016-0141
- Dergi Adı: TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.431-436
- Anahtar Kelimeler: Disordered proteins, Kernel support vector machine, Linear support vector machine, Ordered proteins
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
Introduction: Intrinsically disordered proteins occur when the deformations happen in the tertiary structure of a protein. Disordered proteins play an important role in DNA/RNA/protein recognition, modulation of specificity/ affinity of protein binding, molecular threading, activation by cleavage. The aim of the study is the identification of ordered-disordered protein which is a very challenging problem in bioinformatics.