Evidence map›Paper›PMID 21460442›Full record

ArticleActa crystallographica. Section D, Biological crystallography2011

It's all in the crystals….

Zygmunt S Derewenda

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Journal of applied crystallography · 2021
    Article
  5. BLASTing away preconceptions in crystallization trials.Acta crystallographica. Section F, Structural biology communications · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Crystal structures of MBP fusion proteins.Protein science : a publication of the Protein Society · 2016
    Review
  10. Article
  11. The role of flexibility and molecular shape in the crystallization of proteins by surface mutagenesis.Acta crystallographica. Section F, Structural biology communications · 2015
    Article
  12. Enhancing ubiquitin crystallization through surface-entropy reduction.Acta crystallographica. Section F, Structural biology communications · 2014
    Article
  13. Article
  14. Improving the chances of successful protein structure determination with a random forest classifier.Acta crystallographica. Section D, Biological crystallography · 2014
    Article
  15. Article
  16. Article
  17. Review
  18. 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

1 author.

Zygmunt S DerewendaDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia 22908-0793, USA. zsd4n@virginia.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macromolecular crystallography relies on the availability and quality of single crystals; these are typically obtained through extensive screening, which has a very low intrinsic success rate. Crystallization is not a completely stochastic process and many proteins do not succumb to crystallization because of specific microscopic features of their molecular surfaces. It follows that rational surface engineering through site-directed mutagenesis should allow a systematic and significant improvement in crystallization success rates. Here, one such established strategy, surface-entropy reduction (SER), is discussed, including its successes, limitations and possible future developments.

Indexed as

Crystallography, X-RayEntropyEscherichia coliModels, MolecularMutationProteinsProtein Structure, QuaternarySurface PropertiesProteins

Identifiers

PMID21460442
PMCPMC3069739

What OpenQuestion holds

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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.