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. 2003 Jul 1;31(13):3698-700.
doi: 10.1093/nar/gkg554.

BPROMPT: A consensus server for membrane protein prediction

Paul D Taylor  1 , Teresa K Attwood, Darren R Flower
Affiliations

BPROMPT: A consensus server for membrane protein prediction

Paul D Taylor et al. Nucleic Acids Res. .

Abstract

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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Figures

Figure 1
Figure 1
A schematic example of a simple Bayesian Network showing three nodes: one parent and two daughters.
See this image and copyright information in PMC

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