Evidence map›Paper›PMID 21929785›Full record

ArticleBMC bioinformatics2011

The representation of protein complexes in the Protein Ontology (PRO).

Carol J Bult, Harold J Drabkin, Alexei Evsikov, Darren Natale, Cecilia Arighi, Natalia Roberts, Alan Ruttenberg, Peter D'Eustachio, Barry Smith, Judith A Blake and 1 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Tutorial on Protein Ontology Resources.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Ontologies as integrative tools for plant science.American journal of botany · 2012
    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

11 authors.

Carol J BultThe Jackson Laboratory, Bar Harbor, ME 04609, USA. carol.bult@jax.org
Harold J Drabkin
Alexei Evsikov
Darren Natale
Cecilia Arighi
Natalia Roberts
Alan Ruttenberg
Peter D'Eustachio
Barry Smith
Judith A Blake
Cathy Wu

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
Reactome - CoreU41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI DEUSTACHIO, PETER G, HERMJAKOB, HENNING · 2012 to 2021
$14.5M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
Reactome: An Open Knowledgebase of Human PathwaysP41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2007 to 2011
$4.5M
MouseCyc: A Biochemical Pathway Database for the MouseR01HG003622 · NHGRI · JACKSON LABORATORY · PI BULT, CAROL J · 2006 to 2008
$737k
NHGRI NIH HHS HG003622NHGRI NIH HHS P41 HG003751NHGRI NIH HHS U41 HG003751NHGRI NIH HHS U54 HG004028NIGMS NIH HHS R01 GM080646NIGMS NIH HHS R01GM080646NIGMS NIH HHS R01GM080646-03S1NIGMS NIH HHS R01GM080646-04S2
6 · The paper itself

Abstract

backgroundRepresenting species-specific proteins and protein complexes in ontologies that are both human- and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. DESCRIPTION: We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/.

conclusionPRO is a unique database resource for species-specific protein complexes. PRO facilitates robust annotation of variations in composition and function contexts for protein complexes within and between species.

Indexed as

Databases, ProteinMultiprotein ComplexesAnimalsComputational BiologyHumansInternetMultienzyme ComplexesProteinsMultienzyme ComplexesMultiprotein ComplexesProteins

Identifiers

PMID21929785
PMCPMC3189193

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.