Evidence map›Paper›PMID 31733063›Full record

ArticleNucleic acids research2020

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

Ian Sillitoe, Antonina Andreeva, Tom L Blundell, Daniel W A Buchan, Robert D Finn, Julian Gough, David Jones, Lawrence A Kelley, Typhaine Paysan-Lafosse, Su Datt Lam and 7 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Structural and energetic analyses of SARS-CoV-2Computational and structural biotechnology journal · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ian SillitoeInstitute of Structural and Molecular Biology, UCL, Gower Street, London WC1E 6BT, UK.
Antonina AndreevaMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
Tom L BlundellDepartment of Biochemistry, University of Cambridge, Old Addenbrooke's Site, 80 Tennis Court Road, Cambridge CB2 0QH, UK.
Daniel W A BuchanDepartment of Computer Science, UCL, Gower Street, London WC1E 6BT, UK.
Robert D FinnEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Julian GoughMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
David JonesDepartment of Computer Science, UCL, Gower Street, London WC1E 6BT, UK.
Lawrence A KelleyCentre for Bioinformatics, Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK.
Typhaine Paysan-LafosseEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Su Datt LamInstitute of Structural and Molecular Biology, UCL, Gower Street, London WC1E 6BT, UK.
Alexey G MurzinMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
Arun Prasad PanduranganMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
Gustavo A SalazarEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Marcin J SkwarkDepartment of Biochemistry, University of Cambridge, Old Addenbrooke's Site, 80 Tennis Court Road, Cambridge CB2 0QH, UK.
Michael J E SternbergCentre for Bioinformatics, Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK.
Sameer VelankarEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Christine OrengoInstitute of Structural and Molecular Biology, UCL, Gower Street, London WC1E 6BT, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/K020013/1Biotechnology and Biological Sciences Research Council BB/M011526/1Biotechnology and Biological Sciences Research Council BB/M011712/1Biotechnology and Biological Sciences Research Council BB/N019172/1Biotechnology and Biological Sciences Research Council BB/N019431/1Medical Research Council MC_U105192716
6 · The paper itself

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.

Indexed as

Databases, ProteinProteinsUser-Computer InterfaceProteins

Identifiers

PMID31733063
PMCPMC7139969

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.