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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nucleic acids research 2016-01, Vol.44 (D1), p.D663-D668
Hauptverfasser: Peabody, Michael A, Laird, Matthew R, Vlasschaert, Caitlyn, Lo, Raymond, Brinkman, Fiona S L
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page D668
container_issue D1
container_start_page D663
container_title Nucleic acids research
container_volume 44
creator Peabody, Michael A
Laird, Matthew R
Vlasschaert, Caitlyn
Lo, Raymond
Brinkman, Fiona S L
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.
doi_str_mv 10.1093/nar/gkv1271
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4702898</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1760859411</sourcerecordid><originalsourceid>FETCH-LOGICAL-c447t-eb9dc7199bca6a08abc55ac293e0ed05a28025d740bea1387c90be3404e6c1303</originalsourceid><addsrcrecordid>eNpVkcluFDEQhi0EIkPgxB35iISaeOvFHJBQxBIpUiIIZ6vsrswYeuzGdo8I75B3xqNMIji55Prrq-Un5CVnbznT8iRAOln_3HHR80dkxWUnGqU78ZismGRtw5kajsiznH8wxhVv1VNyJLqOiU7zFbm9_Hbx9Wq07yj-niGMPqxp2SC14AomD7T-UUhuAwh0TrGgDzQv1uE0LRMkOkUHk_8DxcdARyhgISMtkVoslUATXk_oCh39DlP25YZWwL6aYtjhFGekuaTFlSVhfk6eXMOU8cXhPSbfP328Ov3SnF98Pjv9cN44pfrSoNWj67nW1kEHbADr2hac0BIZjqwFMTDRjr1iFoHLoXe6RlIxhZ3jkslj8v6OOy92i6PDUBJMZk5-C-nGRPDm_0zwG7OOO6N6JgY9VMDrAyDFXwvmYrY-77eCgHHJhvcdG1qtOK_SN3dSl2LO9RwPbTgzewNNNdAcDKzqV_9O9qC9d0z-BduInKM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1760859411</pqid></control><display><type>article</type><title>PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Oxford Journals Open Access Collection</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Peabody, Michael A ; Laird, Matthew R ; Vlasschaert, Caitlyn ; Lo, Raymond ; Brinkman, Fiona S L</creator><creatorcontrib>Peabody, Michael A ; Laird, Matthew R ; Vlasschaert, Caitlyn ; Lo, Raymond ; Brinkman, Fiona S L</creatorcontrib><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.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkv1271</identifier><identifier>PMID: 26602691</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Archaeal Proteins - analysis ; Archaeal Proteins - genetics ; Bacterial Proteins - analysis ; Bacterial Proteins - genetics ; Cell Membrane - chemistry ; Cell Wall - chemistry ; Database Issue ; Databases, Protein ; Genome, Archaeal ; Genome, Bacterial ; Membrane Proteins - analysis ; Membrane Proteins - genetics</subject><ispartof>Nucleic acids research, 2016-01, Vol.44 (D1), p.D663-D668</ispartof><rights>The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><rights>The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-eb9dc7199bca6a08abc55ac293e0ed05a28025d740bea1387c90be3404e6c1303</citedby><cites>FETCH-LOGICAL-c447t-eb9dc7199bca6a08abc55ac293e0ed05a28025d740bea1387c90be3404e6c1303</cites><orcidid>0000-0002-9555-8976</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702898/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702898/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26602691$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peabody, Michael A</creatorcontrib><creatorcontrib>Laird, Matthew R</creatorcontrib><creatorcontrib>Vlasschaert, Caitlyn</creatorcontrib><creatorcontrib>Lo, Raymond</creatorcontrib><creatorcontrib>Brinkman, Fiona S L</creatorcontrib><title>PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><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.</description><subject>Archaeal Proteins - analysis</subject><subject>Archaeal Proteins - genetics</subject><subject>Bacterial Proteins - analysis</subject><subject>Bacterial Proteins - genetics</subject><subject>Cell Membrane - chemistry</subject><subject>Cell Wall - chemistry</subject><subject>Database Issue</subject><subject>Databases, Protein</subject><subject>Genome, Archaeal</subject><subject>Genome, Bacterial</subject><subject>Membrane Proteins - analysis</subject><subject>Membrane Proteins - genetics</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkcluFDEQhi0EIkPgxB35iISaeOvFHJBQxBIpUiIIZ6vsrswYeuzGdo8I75B3xqNMIji55Prrq-Un5CVnbznT8iRAOln_3HHR80dkxWUnGqU78ZismGRtw5kajsiznH8wxhVv1VNyJLqOiU7zFbm9_Hbx9Wq07yj-niGMPqxp2SC14AomD7T-UUhuAwh0TrGgDzQv1uE0LRMkOkUHk_8DxcdARyhgISMtkVoslUATXk_oCh39DlP25YZWwL6aYtjhFGekuaTFlSVhfk6eXMOU8cXhPSbfP328Ov3SnF98Pjv9cN44pfrSoNWj67nW1kEHbADr2hac0BIZjqwFMTDRjr1iFoHLoXe6RlIxhZ3jkslj8v6OOy92i6PDUBJMZk5-C-nGRPDm_0zwG7OOO6N6JgY9VMDrAyDFXwvmYrY-77eCgHHJhvcdG1qtOK_SN3dSl2LO9RwPbTgzewNNNdAcDKzqV_9O9qC9d0z-BduInKM</recordid><startdate>20160104</startdate><enddate>20160104</enddate><creator>Peabody, Michael A</creator><creator>Laird, Matthew R</creator><creator>Vlasschaert, Caitlyn</creator><creator>Lo, Raymond</creator><creator>Brinkman, Fiona S L</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9555-8976</orcidid></search><sort><creationdate>20160104</creationdate><title>PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures</title><author>Peabody, Michael A ; Laird, Matthew R ; Vlasschaert, Caitlyn ; Lo, Raymond ; Brinkman, Fiona S L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-eb9dc7199bca6a08abc55ac293e0ed05a28025d740bea1387c90be3404e6c1303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Archaeal Proteins - analysis</topic><topic>Archaeal Proteins - genetics</topic><topic>Bacterial Proteins - analysis</topic><topic>Bacterial Proteins - genetics</topic><topic>Cell Membrane - chemistry</topic><topic>Cell Wall - chemistry</topic><topic>Database Issue</topic><topic>Databases, Protein</topic><topic>Genome, Archaeal</topic><topic>Genome, Bacterial</topic><topic>Membrane Proteins - analysis</topic><topic>Membrane Proteins - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peabody, Michael A</creatorcontrib><creatorcontrib>Laird, Matthew R</creatorcontrib><creatorcontrib>Vlasschaert, Caitlyn</creatorcontrib><creatorcontrib>Lo, Raymond</creatorcontrib><creatorcontrib>Brinkman, Fiona S L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peabody, Michael A</au><au>Laird, Matthew R</au><au>Vlasschaert, Caitlyn</au><au>Lo, Raymond</au><au>Brinkman, Fiona S L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2016-01-04</date><risdate>2016</risdate><volume>44</volume><issue>D1</issue><spage>D663</spage><epage>D668</epage><pages>D663-D668</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26602691</pmid><doi>10.1093/nar/gkv1271</doi><orcidid>https://orcid.org/0000-0002-9555-8976</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0305-1048
ispartof Nucleic acids research, 2016-01, Vol.44 (D1), p.D663-D668
issn 0305-1048
1362-4962
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4702898
source MEDLINE; DOAJ Directory of Open Access Journals; Oxford Journals Open Access Collection; PubMed Central; Free Full-Text Journals in Chemistry
subjects Archaeal Proteins - analysis
Archaeal Proteins - genetics
Bacterial Proteins - analysis
Bacterial Proteins - genetics
Cell Membrane - chemistry
Cell Wall - chemistry
Database Issue
Databases, Protein
Genome, Archaeal
Genome, Bacterial
Membrane Proteins - analysis
Membrane Proteins - genetics
title PSORTdb: expanding the bacteria and archaea protein subcellular localization database to better reflect diversity in cell envelope structures
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T19%3A50%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=PSORTdb:%20expanding%20the%20bacteria%20and%20archaea%20protein%20subcellular%20localization%20database%20to%20better%20reflect%20diversity%20in%20cell%20envelope%20structures&rft.jtitle=Nucleic%20acids%20research&rft.au=Peabody,%20Michael%20A&rft.date=2016-01-04&rft.volume=44&rft.issue=D1&rft.spage=D663&rft.epage=D668&rft.pages=D663-D668&rft.issn=0305-1048&rft.eissn=1362-4962&rft_id=info:doi/10.1093/nar/gkv1271&rft_dat=%3Cproquest_pubme%3E1760859411%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1760859411&rft_id=info:pmid/26602691&rfr_iscdi=true