Classification of transmembrane segments in human proteins using wavelet-based energy

Ilias K. Kitsas, Leontios J. Hadjileontiadis, Stavros M. Panas

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

1 Scopus citations

Abstract

The special features of transmembrane segments (TMs) as well as the number of TMs within a protein sequence are often associated with properties related to the function or structure of the protein. A classification scheme for the TMs of human proteins is proposed in this work, by defining specific patterns of the total energy of each transmembrane segment after applying the continuous wavelet transform (CWT) to the hydrophobic sequence of the protein. The scheme was applied to proteins of known structure extracted by public available databases and statistical analysis followed in order to reveal possible patterns in the sequence of TMs within a protein. The results show some kind of selectivity in the occurrence of TMs with respect to the proposed types, thus allowing further analysis for the extraction of biological information of the proteins based on the proposed classification.

Original languageBritish English
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages1225-1228
Number of pages4
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: 23 Aug 200726 Aug 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period23/08/0726/08/07

Keywords

  • Classification
  • Continuous wavelet transform
  • Proteins
  • Transmembrane segments

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