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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...

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Detalles Bibliográficos
Autores principales: Bigelow, Henry, Rost, Burkhard
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
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 .
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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
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