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Protein comparison by the alignment of fuzzy energy signatures

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationRough Sets and Knowledge Technology - 4th International Conference, RSKT 2009, Proceedings
Pages289-296
Number of pages8
DOIs
Publication statusPublished - 2009
Event4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009 - Gold Coast, QLD, Australia
Duration: 14 Jul 200916 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5589 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009
Country/TerritoryAustralia
CityGold Coast, QLD
Period14/07/0916/07/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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