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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 β-barrel topology prediction. The β-b...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Biomedical Informatics Publishing Group
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891693/ https://www.ncbi.nlm.nih.gov/pubmed/17597895 |