Evidence map›Paper›PMID 25820941›Full record

ArticleProteins2015

Key challenges for the creation and maintenance of specialist protein resources.

Gemma L Holliday, Amos Bairoch, Pantelis G Bagos, Arnaud Chatonnet, David J Craik, Robert D Finn, Bernard Henrissat, David Landsman, Gerard Manning, Nozomi Nagano and 10 more

Abstract readEditorial
In one paragraph

Article in Proteins, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Biocuration in the structure-function linkage database: the anatomy of a superfamily.Database : the journal of biological databases and curation · 2017
    Article
  6. Article
  7. Article
  8. Chameleon sequences in neurodegenerative diseases.Biochemical and biophysical research communications · 2016
    Article
  9. Article
  10. Article
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

20 authors.

Gemma L HollidayDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, 94158.
Amos BairochSIB-Swiss Institute of Bioinformatics, University of Geneva, Geneva, Switzerland.
Pantelis G BagosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35100, Greece.
Arnaud ChatonnetINRA, Umr866 Dynamique Musculaire Et Métabolisme, Montpellier, F-34000, France.
David J CraikInstitute for Molecular Bioscience. The University of Queensland, Brisbane, Queensland, 4072, Australia.
Robert D FinnEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, Cb10 1SD, United Kingdom.
Bernard HenrissatArchitecture Et Fonction Des Macromolécules Biologiques, CNRS, Aix-Marseille Université, Marseille, 13288, France.
David LandsmanNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, 20892.
Gerard ManningDepartment of Bioinformatics & Computational Biology, Genentech, 1 DNA Way, South San Francisco, California, 98010.
Nozomi NaganoComputational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, 135-0064, Japan.
Claire O'DonovanEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, Cb10 1SD, United Kingdom.
Kim D PruittNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, 20892.
Neil D RawlingsEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, Cb10 1SD, United Kingdom.
Milton SaierDepartment of Molecular Biology, University of California at San Diego, La Jolla, California, 92093.
Ramanathan SowdhaminiNational Centre for Biological Sciences, TIFR, GKVK Campus, Bellary Road, Bangalore, 560065, India.
Michael SpeddingChair NC-IUPHAR, Spedding Research Solutions SARL, 6 Rue Ampere, Le Vesinet, 78110, France.
Narayanaswamy SrinivasanMolecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India.
Gert VriendCentre for Molecular and Biomolecular Informatics (CMBI), Radboud University Medical Center, Geert Grooteplein Zuid 26-28, 6525 GA, Nijmegen, The Netherlands.
Patricia C BabbittDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, 94158.
Alex BatemanEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, Cb10 1SD, United Kingdom.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
UniProt: A centralized protein sequence and function resourceU41HG007822 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BATEMAN, ALEX · 2014 to 2017
$21.9M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
Laying the Foundation of Genomic EnzymologyR01GM060595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 2000 to 2018
$5.4M
Structural And Functional Analysis Of Protein Sequence FamiliesZIALM000071 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 2009 to 2025
$3.7M
Linking Text Mining and Data Mining for Biomedical Knowledge DiscoveryG08LM010720 · NLM · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2010 to 2012
$438k
Structural-Functional Analysis-Protein Sequence FamiliesZ01LM000071 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 1995 to 2008
$140k
British Heart Foundation RG/13/5/30112Intramural NIH HHS Z01 LM000071NHGRI NIH HHS U41 HG002273NHGRI NIH HHS U41 HG007822NHGRI NIH HHS U41HG007822NHGRI NIH HHS U41HG02273NIGMS NIH HHS P20GM103446NIGMS NIH HHS R01 GM060595NIGMS NIH HHS R01GM080646NIGMS NIH HHS R01 GM60595NLM NIH HHS G08LM010720Parkinson's UK G-1307Wellcome TrustWellcome Trust 077044Wellcome Trust 099156
6 · The paper itself

Abstract

As the volume of data relating to proteins increases, researchers rely more and more on the analysis of published data, thus increasing the importance of good access to these data that vary from the supplemental material of individual articles, all the way to major reference databases with professional staff and long-term funding. Specialist protein resources fill an important middle ground, providing interactive web interfaces to their databases for a focused topic or family of proteins, using specialized approaches that are not feasible in the major reference databases. Many are labors of love, run by a single lab with little or no dedicated funding and there are many challenges to building and maintaining them. This perspective arose from a meeting of several specialist protein resources and major reference databases held at the Wellcome Trust Genome Campus (Cambridge, UK) on August 11 and 12, 2014. During this meeting some common key challenges involved in creating and maintaining such resources were discussed, along with various approaches to address them. In laying out these challenges, we aim to inform users about how these issues impact our resources and illustrate ways in which our working together could enhance their accuracy, currency, and overall value.

Indexed as

Molecular Sequence AnnotationProteinsDatabases, ProteinData CurationProteinsbig databiocurationkey challengeslongevitymisannotationspecialist protein resource

Identifiers

PMID25820941
PMCPMC4446195

What OpenQuestion holds

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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.