DocumentCode
3106329
Title
Nipah Virus Classification via Fractal Dimension & Shannon Entropy
Author
Holden, Todd ; Gadura, N. ; Cheung, E. ; Schneider, P. ; Tremberger, G., Jr. ; Elham, N. ; Sunil, D. ; Lieberman, D. ; Cheung, T.
Author_Institution
Phys. Dept., CUNY Queensborogh Community Coll., Bayside, NY, USA
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Nipah virus glycoprotein and nucleoprotein sequences were studied using fractal dimension and Shannon entropy. The nucleotide atomic number fluctuation forms the basis of the phylogeny study. The classification reproduces the main results of traditional phylogeny analysis, but with better ability to distinguish closely related strains. The fractal dimension correlation with the GC pair content in the glycoprotein sequence and di-nucleotide entropy in the nucleoprotein suggests different evolutionary mechanisms or strategies. Extension to other flu virus suggests that low fractal dimensionality in the nucleoprotein sequence could be a marker for the Nipah and Spanish-flu-like viruses.
Keywords
bioinformatics; diseases; entropy; fractals; microorganisms; molecular biophysics; proteins; GC pair content; Nipah virus classification; Nipah virus glycoprotein; Shannon entropy; Spanish-flu-like viruses; dinucleotide entropy; fractal dimension; nucleoprotein sequences; nucleotide atomic number fluctuation; phylogeny analysis; Acceleration; Capacitive sensors; Entropy; Evolution (biology); Fluctuations; Fractals; Influenza; Phylogeny; Protons; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5515756
Filename
5515756
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