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

Kandemir Çavaş Ç., Yildirim S.

TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI, vol.41, no.6, pp.431-436, 2016 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 41 Issue: 6
  • Publication Date: 2016
  • Doi Number: 10.1515/tjb-2016-0141
  • Journal Name: TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.431-436
  • Keywords: 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 University Affiliated: Yes

Abstract

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.