Evidence map›Paper›PMID 18047702›Full record

ArticleBMC bioinformatics2007

Framework for a protein ontology.

Darren A Natale, Cecilia N Arighi, Winona C Barker, Judith Blake, Ti-Cheng Chang, Zhangzhi Hu, Hongfang Liu, Barry Smith, Cathy H Wu

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% of its field
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

  1. The Progenetix oncogenomic resource in 2021.Database : the journal of biological databases and curation · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Toward semantic modeling of pharmacogenomic knowledge for clinical and translational decision support.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013
    Article
  13. Ontologies as integrative tools for plant science.American journal of botany · 2012
    Article
  14. Article
  15. Bioinformatics advances in saliva diagnostics.International journal of oral science · 2012
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

9 authors at 4 institutions in 1 country.

Darren A NataleDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, 3300 Whitehaven St, NW, Washington, DC 20007, USA. dan5@georgetown.edu
Cecilia N Arighi
Winona C Barker
Judith Blake
Ti-Cheng Chang
Zhangzhi Hu
Hongfang Liu
Barry Smith
Cathy H Wu
Georgetown University · USGeorgetown University Medical Center · USJackson Laboratory · USUniversity at Buffalo, State University of New York · US

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
GENE ONTOLOGY CONSORTIUMR01HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2001 to 2003
$5.8M
Onto-BioThesaurus: ontological representation of gene/protein names for biomedicaR01LM009959 · NLM · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG · 2009 to 2010
$1.2M
NHGRI NIH HHS 1 U 54 HG004028NHGRI NIH HHS P41 HG002273NHGRI NIH HHS P41HG 002273NHGRI NIH HHS P41HG 003300NHGRI NIH HHS R01 HG002273NHGRI NIH HHS U41 HG002273NHGRI NIH HHS U54 HG004028NIGMS NIH HHS 1 R01 GM080646-01NIGMS NIH HHS R01 GM080646NLM NIH HHS R01 LM009959
6 · The paper itself

Abstract

Biomedical ontologies are emerging as critical tools in genomic and proteomic research, where complex data in disparate resources need to be integrated. A number of ontologies describe properties that can be attributed to proteins. For example, protein functions are described by the Gene Ontology (GO) and human diseases by SNOMED CT or ICD10. There is, however, a gap in the current set of ontologies - one that describes the protein entities themselves and their relationships. We have designed the PRotein Ontology (PRO) to facilitate protein annotation and to guide new experiments. The components of PRO extend from the classification of proteins on the basis of evolutionary relationships to the representation of the multiple protein forms of a gene (products generated by genetic variation, alternative splicing, proteolytic cleavage, and other post-translational modifications). PRO will allow the specification of relationships between PRO, GO and other ontologies in the OBO Foundry. Here we describe the initial development of PRO, illustrated using human and mouse proteins involved in the transforming growth factor-beta and bone morphogenetic protein signaling pathways.

Indexed as

Database Management SystemsDatabases, ProteinEvolution, MolecularProteinsUser-Computer InterfaceInformation Storage and RetrievalSequence AlignmentSequence AnalysisProteins

Identifiers

PMID18047702
PMCPMC2217659
OpenAlexW2180180358

What OpenQuestion holds

Textmetadata
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.