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...
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| Published in | Journal of Shanghai University Vol. 10; no. 4; pp. 308 - 318 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.08.2006
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| Online Access | Get full text |
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| Abstract | 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. |
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| AbstractList | Transmembrane( 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. 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. |
| Author | 于彬 孟宪花 刘海军 王翼飞 |
| AuthorAffiliation | Department of Mathematics, College of Sciences, Shanghai University, Shanghai 200444, P.R. China College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, P.R. China |
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| Snippet | 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... Transmembrane( TM) protein plays an important role in the life activity of the cells, and the prediction of transmembrane helical segments (TMHs) is an... |
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| Title | Prediction of transmembrane helical segments in transmembrane proteins based on wavelet transform |
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