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The Scientific World Journal
Volume 2014 (2014), Article ID 978503, 5 pages
http://dx.doi.org/10.1155/2014/978503
Research Article

Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts

College of Science, Inner Mongolia Agriculture University, Hohhot 010018, China

Received 7 May 2014; Revised 3 June 2014; Accepted 4 June 2014; Published 18 June 2014

Academic Editor: Hao Lin

Copyright © 2014 Feng Yonge. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • GaoShan Kou, and YongE Feng, “Identify beta-hairpin motifs with quadratic discriminant algorithm based on the chemical shifts,” PLoS ONE, vol. 10, no. 9, 2015. View at Publisher · View at Google Scholar
  • Yong-E Feng, “Identify Secretory Protein of Malaria Parasite with Modified Quadratic Discriminant Algorithm and Amino Acid Composition,” Interdisciplinary Sciences: Computational Life Sciences, 2015. View at Publisher · View at Google Scholar
  • Gaoshan Kou, and Yonge Feng, “Identify five kinds of simple super-secondary structures with quadratic discriminant algorithm based on the chemical shifts,” Journal of Theoretical Biology, 2015. View at Publisher · View at Google Scholar
  • Li Z. Yuan, Yong E. Feng, Zhao Wei, and Kou G. Shan, “Using quadratic discriminant analysis to predict protein secondary structure based on chemical shifts,” Current Bioinformatics, vol. 12, no. 1, pp. 52–56, 2017. View at Publisher · View at Google Scholar