Protein Comparison by the Alignment of Fuzzy Energy Signatures

Authors:
Dariusz Mrozek;Bożena Małysiak-Mrozek;Stanisław Kozielski
Affiliations:
Institute of Informatics, Silesian University of Technology, Gliwice, Poland 44-100;Institute of Informatics, Silesian University of Technology, Gliwice, Poland 44-100;Institute of Informatics, Silesian University of Technology, Gliwice, Poland 44-100
Venue:
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Year:
2009

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Abstract

Describing protein structures in terms of their energy features can be a key to understand how proteins work and interact to each other in cellular reactions. This can be also a base to compare proteins and search protein similarities. In the paper, we present protein comparison by the alignment of protein energy signatures. In the alignment, components of energy signatures are represented as fuzzy numbers. This modification increases the sensitivity of the alignment and guarantees the approximate character of the method, at the same time. The effectiveness of the developed alignment algorithm is tested by incorporating it in the new FS-EAST method (Fuzzy Signatures - Energy Alignment Search Tool), which allows to seek similar structural regions of proteins.