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PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations

Protein subcellular localization (SCL) is important for understanding protein function, genome annotation, and aids identification of potential cell surface diagnostic markers, drug targets, or vaccine components. PSORTdb comprises ePSORTdb, a manually curated database of experimentally verified pro...

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Autores principales: Lau, Wing Yin Venus, Hoad, Gemma R, Jin, Vivian, Winsor, Geoffrey L, Madyan, Ashmeet, Gray, Kristen L, Laird, Matthew R, Lo, Raymond, Brinkman, Fiona S L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778896/
https://www.ncbi.nlm.nih.gov/pubmed/33313828
http://dx.doi.org/10.1093/nar/gkaa1095
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author Lau, Wing Yin Venus
Hoad, Gemma R
Jin, Vivian
Winsor, Geoffrey L
Madyan, Ashmeet
Gray, Kristen L
Laird, Matthew R
Lo, Raymond
Brinkman, Fiona S L
author_facet Lau, Wing Yin Venus
Hoad, Gemma R
Jin, Vivian
Winsor, Geoffrey L
Madyan, Ashmeet
Gray, Kristen L
Laird, Matthew R
Lo, Raymond
Brinkman, Fiona S L
author_sort Lau, Wing Yin Venus
collection PubMed
description Protein subcellular localization (SCL) is important for understanding protein function, genome annotation, and aids identification of potential cell surface diagnostic markers, drug targets, or vaccine components. PSORTdb comprises ePSORTdb, a manually curated database of experimentally verified protein SCLs, and cPSORTdb, a pre-computed database of PSORTb-predicted SCLs for NCBI’s RefSeq deduced bacterial and archaeal proteomes. We now report PSORTdb 4.0 (http://db.psort.org/). It features a website refresh, in particular a more user-friendly database search. It also addresses the need to uniquely identify proteins from NCBI genomes now that GI numbers have been retired. It further expands both ePSORTdb and cPSORTdb, including additional data about novel secondary localizations, such as proteins found in bacterial outer membrane vesicles. Protein predictions in cPSORTdb have increased along with the number of available microbial genomes, from approximately 13 million when PSORTdb 3.0 was released, to over 66 million currently. Now, analyses of both complete and draft genomes are included. This expanded database will be of wide use to researchers developing SCL predictors or studying diverse microbes, including medically, agriculturally and industrially important species that have both classic or atypical cell envelope structures or vesicles.
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spelling pubmed-77788962021-01-06 PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations Lau, Wing Yin Venus Hoad, Gemma R Jin, Vivian Winsor, Geoffrey L Madyan, Ashmeet Gray, Kristen L Laird, Matthew R Lo, Raymond Brinkman, Fiona S L Nucleic Acids Res Database Issue Protein subcellular localization (SCL) is important for understanding protein function, genome annotation, and aids identification of potential cell surface diagnostic markers, drug targets, or vaccine components. PSORTdb comprises ePSORTdb, a manually curated database of experimentally verified protein SCLs, and cPSORTdb, a pre-computed database of PSORTb-predicted SCLs for NCBI’s RefSeq deduced bacterial and archaeal proteomes. We now report PSORTdb 4.0 (http://db.psort.org/). It features a website refresh, in particular a more user-friendly database search. It also addresses the need to uniquely identify proteins from NCBI genomes now that GI numbers have been retired. It further expands both ePSORTdb and cPSORTdb, including additional data about novel secondary localizations, such as proteins found in bacterial outer membrane vesicles. Protein predictions in cPSORTdb have increased along with the number of available microbial genomes, from approximately 13 million when PSORTdb 3.0 was released, to over 66 million currently. Now, analyses of both complete and draft genomes are included. This expanded database will be of wide use to researchers developing SCL predictors or studying diverse microbes, including medically, agriculturally and industrially important species that have both classic or atypical cell envelope structures or vesicles. Oxford University Press 2020-12-11 /pmc/articles/PMC7778896/ /pubmed/33313828 http://dx.doi.org/10.1093/nar/gkaa1095 Text en © The Author(s) 2020. 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
Lau, Wing Yin Venus
Hoad, Gemma R
Jin, Vivian
Winsor, Geoffrey L
Madyan, Ashmeet
Gray, Kristen L
Laird, Matthew R
Lo, Raymond
Brinkman, Fiona S L
PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
title PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
title_full PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
title_fullStr PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
title_full_unstemmed PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
title_short PSORTdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
title_sort psortdb 4.0: expanded and redesigned bacterial and archaeal protein subcellular localization database incorporating new secondary localizations
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778896/
https://www.ncbi.nlm.nih.gov/pubmed/33313828
http://dx.doi.org/10.1093/nar/gkaa1095
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