Beta barrel trans-membrane proteins: Enhanced prediction using a Bayesian approach.
Membrane proteins, which constitute approximately 20% of most genomes, form two main classes: alpha helical and beta barrel transmembrane proteins. Using methods based on Bayesian Networks, a powerful approach for statistical inference, we have sought to address beta-barrel topology prediction. The beta-barrel topology predictor reports individual strand accuracies of 88.6%. The method outlined here represents a potentially important advance in the computational determination of membrane protein topology.
Taylor
Paul D
PD
The Jenner Institute, University of Oxford, Compton,Newbury, Berkshire, RG20 7NN, UK.
Toseland
Christopher P
CP
Attwood
Teresa K
TK
Flower
Darren R
DR