title: The prediction of membrane protein structure and genome structural annotation.
abstract: 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.
authors.affiliation: Laboratory of Biocomputing, CIRB/Department of Biology, University of Bologna, via Irnerio 42, Bologna 40126, Italy.
authors.forename: Pier Luigi
authors.initials: PL
authors.lastname: Martelli
authors.forename: Piero
authors.initials: P
authors.lastname: Fariselli
authors.forename: Gianluca
authors.initials: G
authors.lastname: Tasco
authors.forename: Rita
authors.initials: R
authors.lastname: Casadio