Evidence map›Paper›PMID 20961957›Full record

ArticleNucleic acids research2011

TOPSAN: a dynamic web database for structural genomics.

Kyle Ellrott, Christian M Zmasek, Dana Weekes, S Sri Krishna, Constantina Bakolitsa, Adam Godzik, John Wooley

Abstract read
In one paragraph

Article in Nucleic acids research, 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. Article
  4. Article
  5. Structure- and sequence-based function prediction for non-homologous proteins.Journal of structural and functional genomics · 2012
    Article
  6. Article
  7. The human microbiome: our second genome.Annual review of genomics and human genetics · 2012
    Review
  8. Article
  9. Known structure, unknown function: An inquiry-based undergraduate biochemistry laboratory course.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
    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

7 authors.

Kyle EllrottJoint Center for Structural Genomics, Bioinformatics Core, Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA.
Christian M Zmasek
Dana Weekes
S Sri Krishna
Constantina Bakolitsa
Adam Godzik
John Wooley

Funding

Technology Evaluation CoreU54GM074898 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI STEVENS, RAYMOND C · 2005 to 2009
$50.6M
NIGMS NIH HHS U54 GM074898
6 · The paper itself

Abstract

The Open Protein Structure Annotation Network (TOPSAN) is a web-based collaboration platform for exploring and annotating structures determined by structural genomics efforts. Characterization of those structures presents a challenge since the majority of the proteins themselves have not yet been characterized. Responding to this challenge, the TOPSAN platform facilitates collaborative annotation and investigation via a user-friendly web-based interface pre-populated with automatically generated information. Semantic web technologies expand and enrich TOPSAN's content through links to larger sets of related databases, and thus, enable data integration from disparate sources and data mining via conventional query languages. TOPSAN can be found at http://www.topsan.org.

Indexed as

Databases, ProteinProtein ConformationGenomicsProteinsUser-Computer InterfaceProteins

Identifiers

PMID20961957
PMCPMC3013775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.