Discrimination of single and multiple human transmembrane proteins using kurtosis and morphological analysis

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

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

1 Scopus citations

Abstract

The identification of transmembrane segments in protein sequences is an important issue in the field of bioinformatics. In this study a method is proposed for the discrimination between proteins with single and multiple transmembrane segments, combining chemical and statistical features of the proteins with higher-order statistics and morphological analysis for protein categorisation. The method was tested on human proteins, extracted from public available databases and the results have shown an efficiency of the proposed algorithm to correctly classify the sequences under study into two classes, for a wide range of transmembrane segment lengths. This paves the way for a more efficient analysis of transmembrane proteins taking into account the individual features and patterns occurring within proteins with single and multiple transmembrane segments.

Original languageBritish English
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PublisherIEEE Computer Society
Pages1351-1354
Number of pages4
ISBN (Print)9781424418152
DOIs
StatePublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 20 Aug 200825 Aug 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/TerritoryCanada
CityVancouver, BC
Period20/08/0825/08/08

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