Evidence map›Paper›PMID 20944202›Full record

ArticleActa crystallographica. Section F, Structural biology and crystallization communications2010

The JCSG high-throughput structural biology pipeline.

Marc André Elsliger, Ashley M Deacon, Adam Godzik, Scott A Lesley, John Wooley, Kurt Wüthrich, Ian A Wilson

Abstract read
In one paragraph

Article in Acta crystallographica. Section F, Structural biology and crystallization communications, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing 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

93 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Deep-learning map segmentation for protein X-ray crystallographic structure determination.Acta crystallographica. Section D, Structural biology · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. ModelCraft: an advanced automated model-building pipeline using Buccaneer.Acta crystallographica. Section D, Structural biology · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A VScience advances · 2020
    Article
  20. Review

33 more citing papers are in PubMed but not listed here.

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.

Marc André ElsligerDepartment of Molecular Biology, The Scripps Research Institute, La Jolla, CA, USA.
Ashley M Deacon
Adam Godzik
Scott A Lesley
John Wooley
Kurt Wüthrich
Ian A Wilson

Funding

Technology Evaluation CoreU54GM074898 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WILSON, IAN A · 2005 to 2009
$50.6M
Structure Determination Core at SSRLU54GM094586 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WOOLEY, JOHN C · 2010 to 2014
$40.1M
NIGMS NIH HHS U54 GM074898NIGMS NIH HHS U54 GM094586
6 · The paper itself

Abstract

The Joint Center for Structural Genomics high-throughput structural biology pipeline has delivered more than 1000 structures to the community over the past ten years. The JCSG has made a significant contribution to the overall goal of the NIH Protein Structure Initiative (PSI) of expanding structural coverage of the protein universe, as well as making substantial inroads into structural coverage of an entire organism. Targets are processed through an extensive combination of bioinformatics and biophysical analyses to efficiently characterize and optimize each target prior to selection for structure determination. The pipeline uses parallel processing methods at almost every step in the process and can adapt to a wide range of protein targets from bacterial to human. The construction, expansion and optimization of the JCSG gene-to-structure pipeline over the years have resulted in many technological and methodological advances and developments. The vast number of targets and the enormous amounts of associated data processed through the multiple stages of the experimental pipeline required the development of variety of valuable resources that, wherever feasible, have been converted to free-access web-based tools and applications.

Indexed as

Databases, GeneticGenomicsHumansProtein Conformation

Identifiers

PMID20944202
PMCPMC2954196

What OpenQuestion holds

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Registered trials

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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.