Taylor Paul D, Attwood Teresa K, Flower Darren R
Edward Jenner Institute for Vaccine Research, Bioinformatics, Compton, Berkshire, UK.
Nucleic Acids Res. 2003 Jul 1;31(13):3698-700. doi: 10.1093/nar/gkg554.
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.
蛋白质结构预测是生物信息学研究的基石。由于膜蛋白的组成本质上不同，因此需要专门的预测方法。目前有多种用于膜蛋白拓扑结构预测的工具，其中许多可在互联网上获取。本文介绍的服务器BPROMPT（膜蛋白拓扑结构的贝叶斯预测）使用贝叶斯信念网络来整合其他预测方法的结果，从而提供更准确的一致性预测。对于原核生物，拓扑结构预测的准确率达到70%，对于真核生物则为53%。可通过http://www.jenner.ac.uk/BPROMPT访问BPROMPT。
