Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation
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Published version
Author(s)
Type
Journal Article
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.
Date Issued
2019-11-16
Date Acceptance
2019-11-07
Citation
Nucleic Acids Research, 2019, 48 (D1), pp.D314-D319
ISSN
0305-1048
Publisher
Oxford University Press
Start Page
D314
End Page
D319
Journal / Book Title
Nucleic Acids Research
Volume
48
Issue
D1
Copyright Statement
©The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), whichpermits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor
Biotechnology and Biological Sciences Research Council (BBSRC)
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31733063
PII: 5626529
Grant Number
BB/M011526/1
Subjects
05 Environmental Sciences
06 Biological Sciences
08 Information and Computing Sciences
Developmental Biology
Publication Status
Published online
Coverage Spatial
England
Date Publish Online
2019-11-16