A new approach to the prediction of transmembrane structures

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

作者机构：College of Chemistry and Chemical Engineering Northwest Normal University Lanzhou 730070 China College of Life Science Northwest Normal University Lanzhou 730070 China 

出 版 物：《Chinese Science Bulletin》 (CHINESE SCIENCE BULLETIN)

年 卷 期：2008年第53卷第7期

页      面：1011-1014页

核心收录：

学科分类：07[理学] 0702[理学-物理学] 

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 

主　　题：横跨膜构造 TMHs 光谱学 子波转移 

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%.