Evidence map›Paper›PMID 24915074›Full record

ArticleActa crystallographica. Section F, Structural biology communications2014

Automation in biological crystallization.

Patrick Shaw Stewart, Jochen Mueller-Dieckmann

Abstract read
In one paragraph

Article in Acta crystallographica. Section F, Structural biology communications, 2014. 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
–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

16 citing papers in PubMed.

  1. Towards routine accurate electron-density studies of biological macromolecules.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Heterogeneous Nucleation in Protein Crystallization.Biomimetics (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Innovation versus practice in biological crystallization.Acta crystallographica. Section F, Structural biology communications · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. A novel microseeding method for the crystallization of membrane proteins in lipidic cubic phase.Acta crystallographica. Section F, Structural biology communications · 2016
    Article
  14. Article
  15. Lessons from ten years of crystallization experiments at the SGC.Acta crystallographica. Section D, Structural biology · 2016
    Article
  16. Cleaning protocols for crystallization robots: preventing protease contamination.Acta crystallographica. Section F, Structural biology communications · 2015
    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

2 authors.

Patrick Shaw StewartDouglas Instruments Ltd, Douglas House, East Garston, Hungerford, Berkshire RG17 7HD, England.
Jochen Mueller-DieckmannBiocenter Klein Flottbek, University of Hamburg, Ohnhorststrasse 18, 22609 Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crystallization remains the bottleneck in the crystallographic process leading from a gene to a three-dimensional model of the encoded protein or RNA. Automation of the individual steps of a crystallization experiment, from the preparation of crystallization cocktails for initial or optimization screens to the imaging of the experiments, has been the response to address this issue. Today, large high-throughput crystallization facilities, many of them open to the general user community, are capable of setting up thousands of crystallization trials per day. It is thus possible to test multiple constructs of each target for their ability to form crystals on a production-line basis. This has improved success rates and made crystallization much more convenient. High-throughput crystallization, however, cannot relieve users of the task of producing samples of high quality. Moreover, the time gained from eliminating manual preparations must now be invested in the careful evaluation of the increased number of experiments. The latter requires a sophisticated data and laboratory information-management system. A review of the current state of automation at the individual steps of crystallization with specific attention to the automation of optimization is given.

Indexed as

AutomationCrystallizationInformation Storage and Retrievalautomationcrystallization

Identifiers

PMID24915074
PMCPMC4051518

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.