Evidence map›Paper›PMID 20445236›Full record

ArticleActa crystallographica. Section D, Biological crystallography2010

Application of protein engineering to enhance crystallizability and improve crystal properties.

Zygmunt S Derewenda

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Optimal 1TEL-target protein linker character is target protein-dependent.Acta crystallographica. Section D, Structural biology · 2026
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  6. A generic cross-seeding approach to protein crystallization.Journal of applied crystallography · 2025
    Article
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  8. Article
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  14. Protein Assembly by Design.Chemical reviews · 2021
    Review
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  18. Article
  19. Development of imaging scaffolds for cryo-electron microscopy.Current opinion in structural biology · 2020
    Review
  20. 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 School of Medicine, Charlottesville, VA 22908-0736, USA. zsd4n@virginia.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, protein crystallization has mostly been regarded as a stochastic event over which the investigator has little or no control. With the dramatic technological advances in synchrotron-radiation sources and detectors and the equally impressive progress in crystallographic software, including automated model building and validation, crystallization has increasingly become the rate-limiting step in X-ray diffraction studies of macromolecules. However, with the advent of recombinant methods it has also become possible to engineer target proteins and their complexes for higher propensity to form crystals with desirable X-ray diffraction qualities. As most proteins that are under investigation today are obtained by heterologous overexpression, these techniques hold the promise of becoming routine tools with the potential to transform classical crystallization screening into a more rational high-success-rate approach. This article presents an overview of protein-engineering methods designed to enhance crystallizability and discusses a number of examples of their successful application.

Indexed as

AnimalsArabidopsisArabidopsis ProteinsBacterial ProteinsCrystallography, X-RayEscherichia coliMaltose-Binding ProteinsModels, MolecularPeriplasmic Binding ProteinsProtein EngineeringProteinsReceptors, Cell SurfaceReceptors for Activated C KinaseSolubilityArabidopsis ProteinsBacterial ProteinsMaltose-Binding ProteinsPeriplasmic Binding ProteinsProteinsRACK1 protein, ArabidopsisReceptors, Cell SurfaceReceptors for Activated C Kinase

Identifiers

PMID20445236
PMCPMC3089013

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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.