InterPro in 2019: improving coverage, classification and access to protein sequence annotations. Issue Volume 47:Issue D1(2019) (6th November 2018)
- Record Type:
- Journal Article
- Title:
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations. Issue Volume 47:Issue D1(2019) (6th November 2018)
- Main Title:
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations
- Authors:
- Mitchell, Alex L
Attwood, Teresa K
Babbitt, Patricia C
Blum, Matthias
Bork, Peer
Bridge, Alan
Brown, Shoshana D
Chang, Hsin-Yu
El-Gebali, Sara
Fraser, Matthew I
Gough, Julian
Haft, David R
Huang, Hongzhan
Letunic, Ivica
Lopez, Rodrigo
Luciani, Aurélien
Madeira, Fabio
Marchler-Bauer, Aron
Mi, Huaiyu
Natale, Darren A
Necci, Marco
Nuka, Gift
Orengo, Christine
Pandurangan, Arun P
Paysan-Lafosse, Typhaine
Pesseat, Sebastien
Potter, Simon C
Qureshi, Matloob A
Rawlings, Neil D
Redaschi, Nicole
Richardson, Lorna J
Rivoire, Catherine
Salazar, Gustavo A
Sangrador-Vegas, Amaia
Sigrist, Christian J A
Sillitoe, Ian
Sutton, Granger G
Thanki, Narmada
Thomas, Paul D
Tosatto, Silvio C E
Yong, Siew-Yit
Finn, Robert D
… (more) - Abstract:
- Abstract: The InterPro database (http://www.ebi.ac.uk/interpro/ ) classifies protein sequences into families and predicts the presence of functionally important domains and sites. Here, we report recent developments with InterPro (version 70.0) and its associated software, including an 18% growth in the size of the database in terms on new InterPro entries, updates to content, the inclusion of an additional entry type, refined modelling of discontinuous domains, and the development of a new programmatic interface and website. These developments extend and enrich the information provided by InterPro, and provide greater flexibility in terms of data access. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB, and discuss how our evaluation of residue coverage may help guide future curation activities.
- Is Part Of:
- Nucleic acids research. Volume 47:Issue D1(2019)
- Journal:
- Nucleic acids research
- Issue:
- Volume 47:Issue D1(2019)
- Issue Display:
- Volume 47, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 47
- Issue:
- 1
- Issue Sort Value:
- 2019-0047-0001-0000
- Page Start:
- D351
- Page End:
- D360
- Publication Date:
- 2018-11-06
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gky1100 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12085.xml