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PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures

Protein subcellular localization (SCL) is important for understanding protein function, genome annotation, and has practical applications such as identification of potential vaccine components or diagnostic/drug targets. PSORTdb (http://db.psort.org) comprises manually curated SCLs for proteins whic...

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Autores principales: Peabody, Michael A., Laird, Matthew R., Vlasschaert, Caitlyn, Lo, Raymond, Brinkman, Fiona S.L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702898/
https://www.ncbi.nlm.nih.gov/pubmed/26602691
http://dx.doi.org/10.1093/nar/gkv1271
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author Peabody, Michael A.
Laird, Matthew R.
Vlasschaert, Caitlyn
Lo, Raymond
Brinkman, Fiona S.L.
author_facet Peabody, Michael A.
Laird, Matthew R.
Vlasschaert, Caitlyn
Lo, Raymond
Brinkman, Fiona S.L.
author_sort Peabody, Michael A.
collection PubMed
description Protein subcellular localization (SCL) is important for understanding protein function, genome annotation, and has practical applications such as identification of potential vaccine components or diagnostic/drug targets. PSORTdb (http://db.psort.org) comprises manually curated SCLs for proteins which have been experimentally verified (ePSORTdb), as well as pre-computed SCL predictions for deduced proteomes from bacterial and archaeal complete genomes available from NCBI (cPSORTdb). We now report PSORTdb 3.0. It features improvements increasing user-friendliness, and further expands both ePSORTdb and cPSORTdb with a focus on improving protein SCL data in cases where it is most difficult—proteins associated with non-classical Gram-positive/Gram-negative/Gram-variable cell envelopes. ePSORTdb data curation was expanded, including adding in additional cell envelope localizations, and incorporating markers for cPSORTdb to automatically computationally identify if new genomes to be analysed fall into certain atypical cell envelope categories (i.e. Deinococcus-Thermus, Thermotogae, Corynebacteriales/Corynebacterineae, including Mycobacteria). The number of predicted proteins in cPSORTdb has increased from 3 700 000 when PSORTdb 2.0 was released to over 13 000 000 currently. PSORTdb 3.0 will be of wider use to researchers studying a greater diversity of monoderm or diderm microbes, including medically, agriculturally and industrially important species that have non-classical outer membranes or other cell envelope features.
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spelling pubmed-47028982016-01-07 PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures Peabody, Michael A. Laird, Matthew R. Vlasschaert, Caitlyn Lo, Raymond Brinkman, Fiona S.L. Nucleic Acids Res Database Issue Protein subcellular localization (SCL) is important for understanding protein function, genome annotation, and has practical applications such as identification of potential vaccine components or diagnostic/drug targets. PSORTdb (http://db.psort.org) comprises manually curated SCLs for proteins which have been experimentally verified (ePSORTdb), as well as pre-computed SCL predictions for deduced proteomes from bacterial and archaeal complete genomes available from NCBI (cPSORTdb). We now report PSORTdb 3.0. It features improvements increasing user-friendliness, and further expands both ePSORTdb and cPSORTdb with a focus on improving protein SCL data in cases where it is most difficult—proteins associated with non-classical Gram-positive/Gram-negative/Gram-variable cell envelopes. ePSORTdb data curation was expanded, including adding in additional cell envelope localizations, and incorporating markers for cPSORTdb to automatically computationally identify if new genomes to be analysed fall into certain atypical cell envelope categories (i.e. Deinococcus-Thermus, Thermotogae, Corynebacteriales/Corynebacterineae, including Mycobacteria). The number of predicted proteins in cPSORTdb has increased from 3 700 000 when PSORTdb 2.0 was released to over 13 000 000 currently. PSORTdb 3.0 will be of wider use to researchers studying a greater diversity of monoderm or diderm microbes, including medically, agriculturally and industrially important species that have non-classical outer membranes or other cell envelope features. Oxford University Press 2016-01-04 2015-11-23 /pmc/articles/PMC4702898/ /pubmed/26602691 http://dx.doi.org/10.1093/nar/gkv1271 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Peabody, Michael A.
Laird, Matthew R.
Vlasschaert, Caitlyn
Lo, Raymond
Brinkman, Fiona S.L.
PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
title PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
title_full PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
title_fullStr PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
title_full_unstemmed PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
title_short PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
title_sort psortdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702898/
https://www.ncbi.nlm.nih.gov/pubmed/26602691
http://dx.doi.org/10.1093/nar/gkv1271
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