BPROMPT: a consensus server for membrane protein prediction

被引:25
作者
Taylor, PD [1 ]
Attwood, TK
Flower, DR
机构
[1] Edward Jenner Inst Vaccine Res, Compton RG20 7NN, Berks, England
[2] Univ Manchester, Sch Biol Sci, Manchester, Lancs, England
[3] Univ Manchester, Dept Comp Sci, Manchester M13 9PL, Lancs, England
基金
英国医学研究理事会;
关键词
D O I
10.1093/nar/gkg554
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3698 / 3700
页数:3
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