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Article detail · 2021

3-State Protein Secondary Structure Prediction based on SCOPe Classes

Brazilian Archives of Biology and Technology

YÖKSİS OpenAlex Open access · diamond SJR Q2 JCR Q4 Citations 3 Percentile 40.0% FWCI 0.08
Year
2021
ISSN
1516-8913
Type
article

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  • YÖKSİS YÖKSİS article record
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

English (OpenAlex)

HIGHLIGHTS DSPRED method based on machine learning algorithms to predict 3-state secondary structure elements. Comparative results for secondary structure prediction. High accuracy of 82.36% based on SCOPe (Structural Classification of Proteins - extended) structural classes.

Topics

  • Machine Learning in Bioinformatics
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods

Primary topic Machine Learning in Bioinformatics

Authors

  1. SEMA ATASEVER NEVŞEHİR HACI BEKTAŞ VELİ ÜNİVERSİTESİ
  2. NUH AZGINOĞLU KAYSERİ ÜNİVERSİTESİ
  3. HASAN ERBAY
  4. ZAFER AYDIN ABDULLAH GÜL ÜNİVERSİTESİ