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ECOD: new developments in the evolutionary classification of domains

Evolutionary Classification Of protein Domains (ECOD) (http://prodata.swmed.edu/ecod) comprehensively classifies protein with known spatial structures maintained by the Protein Data Bank (PDB) into evolutionary groups of protein domains. ECOD relies on a combination of automatic and manual weekly up...

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Detalles Bibliográficos
Autores principales: Schaeffer, R. Dustin, Liao, Yuxing, Cheng, Hua, Grishin, Nick V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210594/
https://www.ncbi.nlm.nih.gov/pubmed/27899594
http://dx.doi.org/10.1093/nar/gkw1137
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author Schaeffer, R. Dustin
Liao, Yuxing
Cheng, Hua
Grishin, Nick V.
author_facet Schaeffer, R. Dustin
Liao, Yuxing
Cheng, Hua
Grishin, Nick V.
author_sort Schaeffer, R. Dustin
collection PubMed
description Evolutionary Classification Of protein Domains (ECOD) (http://prodata.swmed.edu/ecod) comprehensively classifies protein with known spatial structures maintained by the Protein Data Bank (PDB) into evolutionary groups of protein domains. ECOD relies on a combination of automatic and manual weekly updates to achieve its high accuracy and coverage with a short update cycle. ECOD classifies the approximately 120 000 depositions of the PDB into more than 500 000 domains in ∼3400 homologous groups. We show the performance of the weekly update pipeline since the release of ECOD, describe improvements to the ECOD website and available search options, and discuss novel structures and homologous groups that have been classified in the recent updates. Finally, we discuss the future directions of ECOD and further improvements planned for the hierarchy and update process.
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spelling pubmed-52105942017-01-05 ECOD: new developments in the evolutionary classification of domains Schaeffer, R. Dustin Liao, Yuxing Cheng, Hua Grishin, Nick V. Nucleic Acids Res Database Issue Evolutionary Classification Of protein Domains (ECOD) (http://prodata.swmed.edu/ecod) comprehensively classifies protein with known spatial structures maintained by the Protein Data Bank (PDB) into evolutionary groups of protein domains. ECOD relies on a combination of automatic and manual weekly updates to achieve its high accuracy and coverage with a short update cycle. ECOD classifies the approximately 120 000 depositions of the PDB into more than 500 000 domains in ∼3400 homologous groups. We show the performance of the weekly update pipeline since the release of ECOD, describe improvements to the ECOD website and available search options, and discuss novel structures and homologous groups that have been classified in the recent updates. Finally, we discuss the future directions of ECOD and further improvements planned for the hierarchy and update process. Oxford University Press 2017-01-04 2016-11-28 /pmc/articles/PMC5210594/ /pubmed/27899594 http://dx.doi.org/10.1093/nar/gkw1137 Text en © The Author(s) 2016. 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
Schaeffer, R. Dustin
Liao, Yuxing
Cheng, Hua
Grishin, Nick V.
ECOD: new developments in the evolutionary classification of domains
title ECOD: new developments in the evolutionary classification of domains
title_full ECOD: new developments in the evolutionary classification of domains
title_fullStr ECOD: new developments in the evolutionary classification of domains
title_full_unstemmed ECOD: new developments in the evolutionary classification of domains
title_short ECOD: new developments in the evolutionary classification of domains
title_sort ecod: new developments in the evolutionary classification of domains
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210594/
https://www.ncbi.nlm.nih.gov/pubmed/27899594
http://dx.doi.org/10.1093/nar/gkw1137
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