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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 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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447372/ https://www.ncbi.nlm.nih.gov/pubmed/18629086 http://dx.doi.org/10.1002/cfg.308 |
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author | Martelli, Pier Luigi Fariselli, Piero Tasco, Gianluca Casadio, Rita |
author_facet | Martelli, Pier Luigi Fariselli, Piero Tasco, Gianluca Casadio, Rita |
author_sort | Martelli, Pier Luigi |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2447372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-24473722008-07-14 The Prediction of Membrane Protein Structure and Genome Structural Annotation Martelli, Pier Luigi Fariselli, Piero Tasco, Gianluca Casadio, Rita Comp Funct Genomics Research Article 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. Hindawi Publishing Corporation 2003-07 /pmc/articles/PMC2447372/ /pubmed/18629086 http://dx.doi.org/10.1002/cfg.308 Text en Copyright © 2003 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ 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. |
spellingShingle | Research Article Martelli, Pier Luigi Fariselli, Piero Tasco, Gianluca Casadio, Rita The Prediction of Membrane Protein Structure and Genome Structural Annotation |
title | The Prediction of Membrane Protein Structure and Genome Structural
Annotation |
title_full | The Prediction of Membrane Protein Structure and Genome Structural
Annotation |
title_fullStr | The Prediction of Membrane Protein Structure and Genome Structural
Annotation |
title_full_unstemmed | The Prediction of Membrane Protein Structure and Genome Structural
Annotation |
title_short | The Prediction of Membrane Protein Structure and Genome Structural
Annotation |
title_sort | prediction of membrane protein structure and genome structural
annotation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447372/ https://www.ncbi.nlm.nih.gov/pubmed/18629086 http://dx.doi.org/10.1002/cfg.308 |
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