DocumentCode
3230274
Title
Nearest Neighbor Algorithm for prediction of protein domain structural class
Author
Zhang, Zhen-Hui ; Wang, Zheng-Hua ; Wang, Yong-Xian
Author_Institution
Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha
fYear
2005
fDate
1-1 July 2005
Lastpage
620
Abstract
The Nearest Neighbor Algorithm (NNA) was proposed to predict the structural class of a protein domain according to its amino acid composition. Results obtained through Resubstitution test, Jackknife test and independent dataset test are quite high. Accordingly, the present method, if effectively complemented with the existing prediction methods in this area, may become a powerful tool for predicting the structural class of protein domains
Keywords
biology computing; molecular biophysics; prediction theory; proteins; Jackknife test; amino acid composition; independent dataset test; nearest neighbor algorithm; protein domain structural class; resubstitution test; Amino acids; Laboratories; Mathematics; Nearest neighbor searches; Page description languages; Prediction algorithms; Prediction methods; Proteins; Space technology; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
High-Performance Computing in Asia-Pacific Region, 2005. Proceedings. Eighth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2486-9
Type
conf
DOI
10.1109/HPCASIA.2005.55
Filename
1592331
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