Evidence map›Paper›PMID 20716366›Full record

ArticleBMC bioinformatics2010

TOPSAN: a collaborative annotation environment for structural genomics.

Dana Weekes, S Sri Krishna, Constantina Bakolitsa, Ian A Wilson, Adam Godzik, John Wooley

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The impact of structural genomics: the first quindecennial.Journal of structural and functional genomics · 2016
    Review
  6. Article
  7. Article
  8. Article
  9. Linking genes to diseases with a SNPedia-Gene Wiki mashup.Journal of biomedical semantics · 2012
    Article
  10. Article
  11. Article
  12. Article
  13. The JCSG high-throughput structural biology pipeline.Acta crystallographica. Section F, Structural biology and crystallization communications · 2010
    Article
  14. Structure of BT_3984, a member of the SusD/RagB family of nutrient-binding molecules.Acta crystallographica. Section F, Structural biology and crystallization communications · 2010
    Article
  15. Structure of a tryptophanyl-tRNA synthetase containing an iron-sulfur cluster.Acta crystallographica. Section F, Structural biology and crystallization communications · 2010
    Article
  16. TOPSAN: use of a collaborative environment for annotating, analyzing and disseminating data on JCSG and PSI structures.Acta crystallographica. Section F, Structural biology and crystallization communications · 2010
    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

6 authors at 2 institutions in 1 country.

Dana WeekesJoint Center for Structural Genomics, Bioinformatics Core, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.
S Sri Krishna
Constantina Bakolitsa
Ian A Wilson
Adam Godzik
John Wooley
Sanford Burnham Prebys Medical Discovery Institute · USScripps Research Institute · US

Funding

Technology Evaluation CoreU54GM074898 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WILSON, IAN A · 2005 to 2009
$50.6M
Joint Center for Molecular ModelingP20GM076221 · NIGMS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI GODZIK, ADAM · 2006 to 2009
$2.7M
NIGMS NIH HHS P20 GM076221NIGMS NIH HHS U54 GM074898
6 · The paper itself

Abstract

backgroundMany protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-reviewed manuscript. Because of this they are not accessible by the standard tools of literature searches, remaining underutilized by the broad biological community.

resultsTo address this issue we have developed TOPSAN, The Open Protein Structure Annotation Network, a web-based platform that combines the openness of the wiki model with the quality control of scientific communication. TOPSAN enables research collaborations and scientific dialogue among globally distributed participants, the results of which are reviewed by experts and eventually validated by peer review. The immediate goal of TOPSAN is to harness the combined experience, knowledge, and data from such collaborations in order to enhance the impact of the astonishing number and diversity of structures being determined by structural genomics centers and high-throughput structural biology.

conclusionsTOPSAN combines features of automated annotation databases and formal, peer-reviewed scientific research literature, providing an ideal vehicle to bridge a gap between rapidly accumulating data from high-throughput technologies and a much slower pace for its analysis and integration with other, relevant research.

Indexed as

Databases, GeneticComputational BiologyCooperative BehaviorGenomicsInternetMicroarray AnalysisProteinsProteins

Identifiers

PMID20716366
PMCPMC2936398
OpenAlexW2134394585

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.