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Nucleic Acids Research, 2003, Vol. 31, No. 13 3698-3700
© 2003 Oxford University Press

BPROMPT: a consensus server for membrane protein prediction

Paul D. Taylor*,1,2, Teresa K. Attwood2 and Darren R. Flower1

1 Edward Jenner Institute for Vaccine Research, Bioinformatics, Compton, Berkshire, UK 2 School of Biological Sciences and Department of Computer Science, The University of Manchester, Manchester, UK

*To whom correspondence should be addressed at Edward Jenner Institute for Vaccine Research, Bioinformatics, Compton, Berkshire RG20 7NN, UK. Tel: +44 1635 577968; Fax: +44 1635 577901; Email: paul.taylor{at}jenner.ac.uk

Protein structure prediction is a cornerstone of bioinformatics research. Membrane proteins require their own prediction methods due to their intrinsically different composition. A variety of tools exist for topology prediction of membrane proteins, many of them available on the Internet. The server described in this paper, BPROMPT (Bayesian PRediction Of Membrane Protein Topology), uses a Bayesian Belief Network to combine the results of other prediction methods, providing a more accurate consensus prediction. Topology predictions with accuracies of 70% for prokaryotes and 53% for eukaryotes were achieved. BPROMPT can be accessed at http://www.jenner.ac.uk/BPROMPT.


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