Predicting functional sites in biological sequences using canonical correlation analysis

A.J. Gonzalez; Li Liao; C.H. Wu

doi:10.1109/BIBMW.2009.5332095

B
BIBMW
2009
2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop
Abstract - Predicting functional sites in biological sequences using canonical correlation analysis

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2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop

Predicting functional sites in biological sequences using canonical correlation analysis

Washington, DC USA

November 01-November 04

ISBN: 978-1-4244-5121-0

	ASCII Text	x
	A.J. Gonzalez, Li Liao, C.H. Wu, "Predicting functional sites in biological sequences using canonical correlation analysis," 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, pp. 347, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009.

	BibTex	x
	@article{ 10.1109/BIBMW.2009.5332095, author = {A.J. Gonzalez and Li Liao and C.H. Wu}, title = {Predicting functional sites in biological sequences using canonical correlation analysis}, journal ={2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops}, volume = {0}, year = {2009}, isbn = {978-1-4244-5121-0}, pages = {347}, doi = {http://doi.ieeecomputersociety.org/10.1109/BIBMW.2009.5332095}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops TI - Predicting functional sites in biological sequences using canonical correlation analysis SN - 978-1-4244-5121-0 SP EP A1 - A.J. Gonzalez, A1 - Li Liao, A1 - C.H. Wu, PY - 2009 KW - Pearson correlation KW - biological sequences KW - canonical correlation analysis KW - protein functional site prediction KW - protein engineering KW - protein ligand binding sites VL - 0 JA - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops ER -

A.J. Gonzalez, Dept. of Comput.&Inf. Sci., Univ. of Delaware, Newark, DE, USA

Li Liao, Dept. of Comput.&Inf. Sci., Univ. of Delaware, Newark, DE, USA

C.H. Wu, Dept. of Comput.&Inf. Sci., Univ. of Delaware, Newark, DE, USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBMW.2009.5332095

Protein functional site prediction plays a key role in understanding protein function and in protein engineering. In this work we developed a novel method using canonical correlation analysis to predict protein ligand binding sites. The method was tested with a well-known benchmark dataset and consistently outperformed the existing method Xdet, which is based on Pearson correlation, by improving the lowest and highest ranked positives for more than 18% and 22% respectively.

Index Terms:

Pearson correlation, biological sequences, canonical correlation analysis, protein functional site prediction, protein engineering, protein ligand binding sites

Citation:

A.J. Gonzalez, Li Liao, C.H. Wu, "Predicting functional sites in biological sequences using canonical correlation analysis," bibmw, pp.347, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009

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