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PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins
PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually contains a membrane barrel, and a four-state per-residue labeling of upward- and downward-facing strands, periplasmic hair...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538807/ https://www.ncbi.nlm.nih.gov/pubmed/16844988 http://dx.doi.org/10.1093/nar/gkl262 |
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author | Bigelow, Henry Rost, Burkhard |
author_facet | Bigelow, Henry Rost, Burkhard |
author_sort | Bigelow, Henry |
collection | PubMed |
description | PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually contains a membrane barrel, and a four-state per-residue labeling of upward- and downward-facing strands, periplasmic hairpins and extracellular loops. While most users submit individual proteins known to contain TMBs, some groups submit entire proteomes to screen for potential TMBs. Response time is about 4 min for a 500-residue protein. PROFtmb is a profile-based Hidden Markov Model (HMM) with an architecture mirroring the structure of TMBs. The per-residue accuracy on the 8-fold cross-validated testing set is 86% while whole-protein discrimination accuracy was 70 at 60% coverage. The PROFtmb web server includes all source code, training data and whole-proteome predictions from 78 Gram-negative bacterial genomes and is available freely and without registration at . |
format | Text |
id | pubmed-1538807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15388072006-08-18 PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins Bigelow, Henry Rost, Burkhard Nucleic Acids Res Article PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually contains a membrane barrel, and a four-state per-residue labeling of upward- and downward-facing strands, periplasmic hairpins and extracellular loops. While most users submit individual proteins known to contain TMBs, some groups submit entire proteomes to screen for potential TMBs. Response time is about 4 min for a 500-residue protein. PROFtmb is a profile-based Hidden Markov Model (HMM) with an architecture mirroring the structure of TMBs. The per-residue accuracy on the 8-fold cross-validated testing set is 86% while whole-protein discrimination accuracy was 70 at 60% coverage. The PROFtmb web server includes all source code, training data and whole-proteome predictions from 78 Gram-negative bacterial genomes and is available freely and without registration at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538807/ /pubmed/16844988 http://dx.doi.org/10.1093/nar/gkl262 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Bigelow, Henry Rost, Burkhard PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins |
title | PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins |
title_full | PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins |
title_fullStr | PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins |
title_full_unstemmed | PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins |
title_short | PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins |
title_sort | proftmb: a web server for predicting bacterial transmembrane beta barrel proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538807/ https://www.ncbi.nlm.nih.gov/pubmed/16844988 http://dx.doi.org/10.1093/nar/gkl262 |
work_keys_str_mv | AT bigelowhenry proftmbawebserverforpredictingbacterialtransmembranebetabarrelproteins AT rostburkhard proftmbawebserverforpredictingbacterialtransmembranebetabarrelproteins |