Evidence map›Paper›PMID 23897484›Full record

ArticleActa crystallographica. Section D, Biological crystallography2013

Clustering procedures for the optimal selection of data sets from multiple crystals in macromolecular crystallography.

James Foadi, Pierre Aller, Yilmaz Alguel, Alex Cameron, Danny Axford, Robin L Owen, Wes Armour, David G Waterman, So Iwata, Gwyndaf Evans

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.

0numbers the graph read from it
0cells of the map it votes in
169citing 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

169 citing papers in PubMed.

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109 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

10 authors.

James FoadiMembrane Protein Laboratory, Diamond Light Source, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0DE, England.
Pierre Aller
Yilmaz Alguel
Alex Cameron
Danny Axford
Robin L Owen
Wes Armour
David G Waterman
So Iwata
Gwyndaf Evans

Funding

Wellcome TrustWellcome Trust 089809MA
6 · The paper itself

Abstract

The availability of intense microbeam macromolecular crystallography beamlines at third-generation synchrotron sources has enabled data collection and structure solution from microcrystals of <10 µm in size. The increased likelihood of severe radiation damage where microcrystals or particularly sensitive crystals are used forces crystallographers to acquire large numbers of data sets from many crystals of the same protein structure. The associated analysis and merging of multi-crystal data is currently a manual and time-consuming step. Here, a computer program, BLEND, that has been written to assist with and automate many of the steps in this process is described. It is demonstrated how BLEND has successfully been used in the solution of a novel membrane protein.

Indexed as

Cluster AnalysisSoftwareCrystallography, X-RayInsulinMembrane ProteinsModels, MolecularMuramidasePlant ProteinsSynchrotronsTemperatureInsulinMembrane ProteinsMuramidasePlant Proteinsthaumatin protein, plantBLENDclusteringmergingmulti-crystal data setsmultiple crystalsscaling

Identifiers

PMID23897484
PMCPMC3727331

What OpenQuestion holds

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LicenceCC BY
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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.