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• W2101411174 abstract "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." @default.
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• W2101411174 date "2006-10-07" @default.
• W2101411174 modified "2023-09-23" @default.
• W2101411174 title "Beta barrel trans-membrane proteins: Enhanced prediction using a Bayesian approach." @default.
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• W2101411174 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/1891693" @default.
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