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The Scientific World Journal
Volume 2014, Article ID 978503, 5 pages
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.


Knowledge of supersecondary structures can provide important information about its spatial structure of protein. Some approaches have been developed for the prediction of protein supersecondary structure. However, the feature used by these approaches is primarily based on amino acid sequences. In this study, a novel model is presented to predict protein supersecondary structure by use of chemical shifts (CSs) information derived from nuclear magnetic resonance (NMR) spectroscopy. Using these CSs as inputs of the method of quadratic discriminant analysis (QD), we achieve the overall prediction accuracy of 77.3%, which is competitive with the same method for predicting supersecondary structures from amino acid compositions in threefold cross-validation. Moreover, our finding suggests that the combined use of different chemical shifts will influence the accuracy of prediction.