<p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p> <p>New methods, essentially based on hidden Markov models (HMM) and neural
networks (NN), can predict the topography of both β-barrel and all-α membrane
proteins with high accuracy and a low rate of false positives and false negatives.
These methods have been integrated in a suite of programs to filter proteomes of
Gram-negative bacteria, searching for new membrane proteins.</p>
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Comp Funct Genomics. 2003 Jul; 4(4):406-409