Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Yonge, Feng. 2014. Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1051840
Modern Language Association (MLA)
Yonge, Feng. Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts. The Scientific World Journal No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1051840
American Medical Association (AMA)
Yonge, Feng. Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1051840
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051840