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Domain Organization of Long Autotransporter Signal Sequences

Bacterial autotransporters represent a diverse family of proteins that autonomously translocate across the inner membrane of Gram-negative bacteria via the Sec complex and across the outer bacterial membrane. They often possess exceptionally long N-terminal signal sequences. We analyzed 90 long sign...

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Detalles Bibliográficos
Autores principales: Hiss, Jan A., Schneider, Gisbert
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805444/
https://www.ncbi.nlm.nih.gov/pubmed/20072671
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author Hiss, Jan A.
Schneider, Gisbert
author_facet Hiss, Jan A.
Schneider, Gisbert
author_sort Hiss, Jan A.
collection PubMed
description Bacterial autotransporters represent a diverse family of proteins that autonomously translocate across the inner membrane of Gram-negative bacteria via the Sec complex and across the outer bacterial membrane. They often possess exceptionally long N-terminal signal sequences. We analyzed 90 long signal sequences of bacterial autotransporters and members of the two-partner secretion pathway in silico and describe common domain organization found in 79 of these sequences. The domains are in agreement with previously published experimental data. Our algorithmic approach allows for the systematic identification of functionally different domains in long signal sequences.
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spelling pubmed-28054442010-01-13 Domain Organization of Long Autotransporter Signal Sequences Hiss, Jan A. Schneider, Gisbert Bioinform Biol Insights Original Research Bacterial autotransporters represent a diverse family of proteins that autonomously translocate across the inner membrane of Gram-negative bacteria via the Sec complex and across the outer bacterial membrane. They often possess exceptionally long N-terminal signal sequences. We analyzed 90 long signal sequences of bacterial autotransporters and members of the two-partner secretion pathway in silico and describe common domain organization found in 79 of these sequences. The domains are in agreement with previously published experimental data. Our algorithmic approach allows for the systematic identification of functionally different domains in long signal sequences. Libertas Academica 2009-12-14 /pmc/articles/PMC2805444/ /pubmed/20072671 Text en © 2009 The authors. http://creativecommons.org/licenses/by/2.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/2.0/).
spellingShingle Original Research
Hiss, Jan A.
Schneider, Gisbert
Domain Organization of Long Autotransporter Signal Sequences
title Domain Organization of Long Autotransporter Signal Sequences
title_full Domain Organization of Long Autotransporter Signal Sequences
title_fullStr Domain Organization of Long Autotransporter Signal Sequences
title_full_unstemmed Domain Organization of Long Autotransporter Signal Sequences
title_short Domain Organization of Long Autotransporter Signal Sequences
title_sort domain organization of long autotransporter signal sequences
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805444/
https://www.ncbi.nlm.nih.gov/pubmed/20072671
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