DocumentCode :
3232328
Title :
2nd PCA on 3D protein structure similarity
Author :
Chen, Y. ; Chang, S. ; Tian, X.H.
Author_Institution :
Coll. of Software Technol., South China Agric. Univ., Guangzhou, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
253
Lastpage :
257
Abstract :
Regarding the issue that 3D protein structure similarity determination requires a lot of computing time, this paper proposes a 3D protein structure consistency comparison using 2nd PCA (second principal component analysis). Mainly through 3D protein structure distance matrix to compute the corresponding PCA2 value, define their similarity by the PCA2 ratio of the two protein structures to be compared. This method does not require pre-registration for the protein backbone. Through a series of tests to verify that, by guaranteeing certain accuracy, this method greatly improves the speed of the similarity comparison.
Keywords :
biology computing; matrix algebra; molecular biophysics; principal component analysis; proteins; 2nd PCA; 3D protein structure consistency comparison; 3D protein structure distance matrix; 3D protein structure similarity; PCA2 value; protein backbone pre-registration; second principal component analysis; Bioinformatics; Face recognition; Proteins; Search problems; Shape; 2nd PCA analysis; 3D Protein; Structure Similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645321
Filename :
5645321
Link To Document :
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