Developing structural profile matrices for protein secondary structure and solvent accessibility prediction

Aydın Z., Azginoglu N., Bilgin H. I., Çelik M.

BIOINFORMATICS, vol.35, no.20, pp.4004-4010, 2019 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 20
  • Publication Date: 2019
  • Doi Number: 10.1093/bioinformatics/btz238
  • Journal Name: BIOINFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.4004-4010
  • Kayseri University Affiliated: No

Abstract

Motivation: Predicting secondary structure and solvent accessibility of proteins are among the essential steps that preclude more elaborate 3D structure prediction tasks. Incorporating class label information contained in templates with known structures has the potential to improve the accuracy of prediction methods. Building a structural profile matrix is one such technique that provides a distribution for class labels at each amino acid position of the target.