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Advances in Bioinformatics
Volume 2015, Article ID 909765, 10 pages
Research Article

CISAPS: Complex Informational Spectrum for the Analysis of Protein Sequences

1Department of Genetics, University of Leicester, University Road, Leicester LE1 7RH, UK
2Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, The University of Northumbria at Newcastle, Newcastle-upon-Tyne NE1 8ST, UK
3Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul, Turkey

Received 28 July 2014; Revised 27 November 2014; Accepted 4 December 2014

Academic Editor: Tatsuya Akutsu

Copyright © 2015 Charalambos Chrysostomou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplement 1 provides detailed information about the 611 unique Amino Acid Indices used by the CISAPS server to encode protein sequences to numerical sequences. These Amino Acid Indices represent different biochemical properties of the proteins and are made available at

Supplement 2 provides the protein sequences of influenza Neuraminidase gene used as the case study presented in the paper. Eight different groups of the proteins are included as follows: (i) 27 NA proteins for H1N1 (1933–1946) (ii) 12 NA proteins for H1N1 (1947–1957) (iii) 48 NA proteins for H1N1 (1979–1989) (iv) 200 NA Proteins for H1N1 (2009) (v) 76 NA Proteins for H2N2 (1957–1968) (vi) 200 NA Proteins for H3N2 (1968–2000) (vii) 27 NA Proteins for H1N2 (2001–2004) (viii) 70 NA Proteins for H5N1 (2005–2009).

Supplement 3 provides the results produced by CISAPS Server as an outcome of the analysis of the protein sequences included in Supplement 2. The results include reports generated for absolute, real, and imaginary informational spectrum characteristic frequency peaks.

  1. Supplementary Materials