A new approach to the prediction of transmembrane structures  

作　　者：LIU HongDe WANG Rui LU XiaoQuan CHEN Jing LIU XiuHui DING Lan 

机构地区：[1]College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, China [2]College of Life Science, Northwest Normal University, Lanzhou 730070, China

出　　处：《Chinese Science Bulletin》2008年第7期1011-1014,共4页

基　　金：the National Natural Science Foundation of China (Grant Nos. 20775060 and 20335030), the Teaching;Research Award Program for Out-standing Young Teachers in Higher Education Institutions of China;the Key Lab of Polymer Material Science of Gansu Province, China

摘　　要：About 20%-30% of genome products have been predicted as membrane proteins, which have sig-nificant biological functions. The prediction of the amount and position for the transmembrane protein helical segments (TMHs) is the hot spot in bioinformatics. In this paper, a new approach, maximum spectrum of continuous wavelet transform (MSCWT), is proposed to predict TMHs. The predictions for eight SARS-CoV membrane proteins indicate that MSCWT has the same capacity with software TMpred. Moreover, the test on a dataset of 131 structure-known proteins with 548 TMHs shows that the predic-tion accuracy of MSCWT for TMHs is 91.6% and that for membrane protein is 89.3%.About 20%-30% of genome products have been predicted as membrane proteins, which have significant biological functions. The prediction of the amount and position for the transmembrane protein helical segments （TMHs） is the hot spot in bioinformatics. In this paper, a new approach, maximum spectrum of continuous wavelet transform （MSCWT）, is proposed to predict TMHs. The predictions for eight SARS-CoV membrane proteins indicate that MSCWT has the same capacity with software TMpred. Moreover, the test on a dataset of 131 structure-known proteins with 548 TMHs shows that the prediction accuracy of MSCWT for TMHs is 91.6% and that for membrane protein is 89.3%.

关 键 词：横跨膜构造 TMHs 光谱学 子波转移 

分 类 号：O4[理学—物理]