BPROMPT: a consensus server for membrane protein prediction | Zendy

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BPROMPT: a consensus server for membrane protein prediction

Author(s) -

Paul Taylor

Publication year - 2003

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkg554

Subject(s) - biology , computational biology , network topology , bayesian probability , membrane protein , bayesian network , the internet , topology (electrical circuits) , computer science , bioinformatics , data mining , artificial intelligence , membrane , genetics , computer network , world wide web , engineering , electrical engineering

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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