The prediction of membrane protein structure and genome structural annotation.
New methods, essentially based on hidden Markov models (HMM) and neural networks (NN), can predict the topography of both beta-barrel and all-alpha 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.
Martelli
Pier Luigi
PL
Laboratory of Biocomputing, CIRB/Department of Biology, University of Bologna, via Irnerio 42, Bologna 40126, Italy.
Fariselli
Piero
P
Tasco
Gianluca
G
Casadio
Rita
R