BPROMPT: A consensus server for membrane protein prediction

Paul D. Taylor, Teresa K. Attwood, Darren R. Flower

    Research output: Contribution to journalArticlepeer-review

    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.
    Original languageEnglish
    Pages (from-to)3698-3700
    Number of pages2
    JournalNucleic acids research.
    Volume31
    Issue number13
    DOIs
    Publication statusPublished - 1 Jul 2003

    Fingerprint

    Dive into the research topics of 'BPROMPT: A consensus server for membrane protein prediction'. Together they form a unique fingerprint.

    Cite this