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Comparative and Functional Genomics
Volume 4, Issue 4, Pages 406-409
Conference review

The Prediction of Membrane Protein Structure and Genome Structural Annotation

Laboratory of Biocomputing, CIRB/Department of Biology, University of Bologna, via Irnerio 42, Bologna 40126, Italy

Received 3 June 2003; Revised 3 June 2003; Accepted 3 June 2003

Copyright © 2003 Hindawi Publishing Corporation. 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.


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.