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
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;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5515756