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Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation

Authors :
Christine A. Orengo
Lawrence A. Kelley
Daniel W. A. Buchan
Gustavo A. Salazar
Julian Gough
Michael J.E. Sternberg
Tom L. Blundell
Arun Prasad Pandurangan
Robert D. Finn
Antonina Andreeva
Sameer Velankar
Alexey G. Murzin
Su Datt Lam
Marcin J. Skwark
Ian Sillitoe
Typhaine Paysan-Lafosse
David T. Jones
Blundell, Tom [0000-0002-2708-8992]
Skwark, Marcin [0000-0002-2022-6766]
Apollo - University of Cambridge Repository
Biotechnology and Biological Sciences Research Council (BBSRC)
Source :
D319, D314, Nucleic Acids Research
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Genome3D (https://www.genome3d.eu) is a freely available resource that provides consensus structural annotations for representative protein sequences taken from a selection of model organisms. Since the last NAR update in 2015, the method of data submission has been overhauled, with annotations now being ‘pushed’ to the database via an API. As a result, contributing groups are now able to manage their own structural annotations, making the resource more flexible and maintainable. The new submission protocol brings a number of additional benefits including: providing instant validation of data and avoiding the requirement to synchronise releases between resources. It also makes it possible to implement the submission of these structural annotations as an automated part of existing internal workflows. In turn, these improvements facilitate Genome3D being opened up to new prediction algorithms and groups. For the latest release of Genome3D (v2.1), the underlying dataset of sequences used as prediction targets has been updated using the latest reference proteomes available in UniProtKB. A number of new reference proteomes have also been added of particular interest to the wider scientific community: cow, pig, wheat and mycobacterium tuberculosis. These additions, along with improvements to the underlying predictions from contributing resources, has ensured that the number of annotations in Genome3D has nearly doubled since the last NAR update article. The new API has also been used to facilitate the dissemination of Genome3D data into InterPro, thereby widening the visibility of both the annotation data and annotation algorithms.

Details

Database :
OpenAIRE
Journal :
D319, D314, Nucleic Acids Research
Accession number :
edsair.doi.dedup.....21e3ebfe8b7a884b400d5854b5316527