The prediction of membrane protein structure and genome structural annotation
Open Access
- 21 August 2003
- journal article
- website
- Published by Wiley in Comparative and Functional Genomics
- Vol. 4 (4) , 406-409
- https://doi.org/10.1002/cfg.308
Abstract
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. Copyright © 2003 John Wiley & Sons, Ltd.Keywords
Funding Information
- Ministero dell’Università e della Ricerca Scientifica e Tecnologica (PNR 2001–2003)
This publication has 18 references indexed in Scilit:
- Fishing new proteins in the twilight zone of genomes: The test case of outer membrane proteins in Escherichia coli K12, Escherichia coli O157:H7, and other Gram‐negative bacteriaProtein Science, 2003
- Tom40, the import channel of the mitochondrial outer membrane, plays an active role in sorting imported proteinsThe EMBO Journal, 2003
- MaxSubSeq: an algorithm for segment-length optimization. The case study of the transmembrane spanning segmentsBioinformatics, 2003
- Transmembrane helix predictions revisitedProtein Science, 2002
- Long membrane helices and short loops predicted less accuratelyProtein Science, 2002
- Rapid topology mapping of Escherichia coli inner-membrane proteins by prediction and PhoA/GFP fusion analysisProceedings of the National Academy of Sciences, 2002
- Energetics, stability, and prediction of transmembrane helices11Edited by G. von HeijneJournal of Molecular Biology, 2001
- Prediction of the transmembrane regions of β‐barrel membrane proteins with a neural network‐based predictorProtein Science, 2001
- MPtopo: A database of membrane protein topologyProtein Science, 2001
- Predicting transmembrane protein topology with a hidden markov model: application to complete genomes11Edited by F. CohenJournal of Molecular Biology, 2001