期刊
BIOPHYSICAL JOURNAL
卷 84, 期 5, 页码 3257-3263出版社
CELL PRESS
DOI: 10.1016/S0006-3495(03)70050-2
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Membrane proteins are generally classified into the following five types: 1), type I membrane protein; 2), type 11 membrane protein; 3), multipass transmembrane proteins; 4), lipid chain-anchored membrane proteins; and 5), GPI-anchored membrane proteins. In this article, based on the concept of using the functional domain composition to define a protein, the Support Vector Machine algorithm is developed for predicting the membrane protein type. High success rates are obtained by both the self-consistency and jackknife tests. The current approach, complemented with the powerful covariant discriminant algorithm based on the pseudo-amino acid composition that has incorporated quasi-sequence-order effect as recently proposed by K. C. Chou (2001), may become a very useful high-throughput tool in the area of bioinformatics and proteomics.
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