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CISAPS: Complex Informational Spectrum for the Analysis of Protein Sequences

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posted on 2016-12-08, 10:36 authored by Charalambos Chrysostomou, H. Seker, N. Aydin
Complex informational spectrum analysis for protein sequences (CISAPS) and its web-based server are developed and presented. As recent studies show, only the use of the absolute spectrum in the analysis of protein sequences using the informational spectrum analysis is proven to be insufficient. Therefore, CISAPS is developed to consider and provide results in three forms including absolute, real, and imaginary spectrum. Biologically related features to the analysis of influenza A subtypes as presented as a case study in this study can also appear individually either in the real or imaginary spectrum. As the results presented, protein classes can present similarities or differences according to the features extracted from CISAPS web server. These associations are probable to be related with the protein feature that the specific amino acid index represents. In addition, various technical issues such as zero-padding and windowing that may affect the analysis are also addressed. CISAPS uses an expanded list of 611 unique amino acid indices where each one represents a different property to perform the analysis. This web-based server enables researchers with little knowledge of signal processing methods to apply and include complex informational spectrum analysis to their work.

History

Citation

Advances in Bioinformatics, vol. 2015, Article ID 909765, 10 pages, 2015.

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/MBSP Non-Medical Departments/Department of Genetics

Version

  • VoR (Version of Record)

Published in

Advances in Bioinformatics

Publisher

Hindawi Publishing Corporation

issn

1687-8027

eissn

1687-8035

Acceptance date

2014-12-04

Copyright date

2015

Available date

2016-12-08

Publisher version

https://www.hindawi.com/journals/abi/2015/909765/

Language

en

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