PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins. Issue Volume 49:Issue D1(2021) (10th December 2020)
- Record Type:
- Journal Article
- Title:
- PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins. Issue Volume 49:Issue D1(2021) (10th December 2020)
- Main Title:
- PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins
- Authors:
- Lazar, Tamas
Martínez-Pérez, Elizabeth
Quaglia, Federica
Hatos, András
Chemes, Lucía B
Iserte, Javier A
Méndez, Nicolás A
Garrone, Nicolás A
Saldaño, Tadeo E
Marchetti, Julia
Rueda, Ana Julia Velez
Bernadó, Pau
Blackledge, Martin
Cordeiro, Tiago N
Fagerberg, Eric
Forman-Kay, Julie D
Fornasari, Maria S
Gibson, Toby J
Gomes, Gregory-Neal W
Gradinaru, Claudiu C
Head-Gordon, Teresa
Jensen, Malene Ringkjøbing
Lemke, Edward A
Longhi, Sonia
Marino-Buslje, Cristina
Minervini, Giovanni
Mittag, Tanja
Monzon, Alexander Miguel
Pappu, Rohit V
Parisi, Gustavo
Ricard-Blum, Sylvie
Ruff, Kiersten M
Salladini, Edoardo
Skepö, Marie
Svergun, Dmitri
Vallet, Sylvain D
Varadi, Mihaly
Tompa, Peter
Tosatto, Silvio C E
Piovesan, Damiano
… (more) - Abstract:
- Abstract: The Protein Ensemble Database (PED) (https://proteinensemble.org ), which holds structural ensembles of intrinsically disordered proteins (IDPs), has been significantly updated and upgraded since its last release in 2016. The new version, PED 4.0, has been completely redesigned and reimplemented with cutting-edge technology and now holds about six times more data (162 versus 24 entries and 242 versus 60 structural ensembles) and a broader representation of state of the art ensemble generation methods than the previous version. The database has a completely renewed graphical interface with an interactive feature viewer for region-based annotations, and provides a series of descriptors of the qualitative and quantitative properties of the ensembles. High quality of the data is guaranteed by a new submission process, which combines both automatic and manual evaluation steps. A team of biocurators integrate structured metadata describing the ensemble generation methodology, experimental constraints and conditions. A new search engine allows the user to build advanced queries and search all entry fields including cross-references to IDP-related resources such as DisProt, MobiDB, BMRB and SASBDB. We expect that the renewed PED will be useful for researchers interested in the atomic-level understanding of IDP function, and promote the rational, structure-based design of IDP-targeting drugs.
- Is Part Of:
- Nucleic acids research. Volume 49:Issue D1(2021)
- Journal:
- Nucleic acids research
- Issue:
- Volume 49:Issue D1(2021)
- Issue Display:
- Volume 49, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 49
- Issue:
- 1
- Issue Sort Value:
- 2021-0049-0001-0000
- Page Start:
- D404
- Page End:
- D411
- Publication Date:
- 2020-12-10
- 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/gkaa1021 ↗
- 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:
- 26527.xml