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TMBETA-NET: discrimination and prediction of membrane spanning ß-strands in outer membrane proteins
Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST) AIST Tokyo Waterfront Bio-IT Research Building, 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan 1Department of Biochemical Engineering and Science, Kyushu Institute of Technology Iizuka 820 8502, Fukuoka, Japan
*To whom correspondence should be addressed. Tel: +81 3 3599 8046; Fax: +81 3 3599 8081; Email: michael-gromiha{at}aist.go.jp
Received February 6, 2005. Revised February 28, 2005. Accepted February 28, 2005.
We have developed a web-server, TMBETA-NET for discriminating outer membrane proteins and predicting their membrane spanning ß-strand segments. The amino acid compositions of globular and outer membrane proteins have been systematically analyzed and a statistical method has been proposed for discriminating outer membrane proteins. The prediction of membrane spanning segments is mainly based on feed forward neural network and refined with ß-strand length. Our program takes the amino acid sequence as input and displays the type of the protein along with membrane-spanning ß-strand segments as a stretch of highlighted amino acid residues. Further, the probability of residues to be in transmembrane ß-strand has been provided with a coloring scheme. We observed that outer membrane proteins were discriminated with an accuracy of 89% and their membrane spanning ß-strand segments at an accuracy of 73% just from amino acid sequence information. The prediction server is available at http://psfs.cbrc.jp/tmbeta-net/.
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