Prediction of transmembrane helical segments in transmembrane proteins based on wavelet transform

Tmnsmembrane（TM） protein plays an important role in the life activity of the cells, and the prediction of transmembrane helical segments （TMHs） is an important subject in the bioinformatics research. Thus far, several prediction methods have been reported, but there are some deficiencies in predicti...

Full description

Saved in:
Bibliographic Details
Published inJournal of Shanghai University Vol. 10; no. 4; pp. 308 - 318
Main Author 于彬 孟宪花 刘海军 王翼飞
Format Journal Article
LanguageEnglish
Chinese
Published 01.08.2006
Subjects
TMHs
疏水性
离散小波变换
跨膜蛋白质
Online AccessGet full text

Cover

More Information
Summary:Tmnsmembrane（TM） protein plays an important role in the life activity of the cells, and the prediction of transmembrane helical segments （TMHs） is an important subject in the bioinformatics research. Thus far, several prediction methods have been reported, but there are some deficiencies in prediction accuracy and adaptability in these methods. In this paper, a method based on discrete wavelet transform （DWT） was developed to predict the TMHs. Two sets of test data sets containing total 60 protein sequences were utilized to access the effect of the method. Compared with the prediction results of TMHMM2.0 and MEMSAT, the obtained results indicate that the presented method has high prediction accuracy.
Bibliography:Q51
transmembrane protein, transmembrane helical segments （TMHs）, hydrophobicity, discrete wavelet transform.
31-1735/N
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1007-6417
1863-236X
DOI:10.1007/s11741-006-0006-9