Classifying ordered-disordered proteins using linear and kernel support vector machines

Kandemir Çavaş Ç., Yildirim S.

TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI, cilt.41, sa.6, ss.431-436, 2016 (SCI-Expanded) identifier identifier

  • 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, AMINO-ACID-COMPOSITION, INTRINSICALLY UNSTRUCTURED PROTEINS, FUNCTIONAL ANTHOLOGY, LOCALIZATION PREDICTION, SECONDARY STRUCTURE, CLASSIFICATION, REGIONS, SEQUENCE, DISEASES, DOMAINS
  • 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.