Evidence map›Paper›PMID 25448300›Full record

ArticleMethods (San Diego, Calif.)2014

Modelling multi-protein complexes using PELDOR distance measurements for rigid body minimisation experiments using XPLOR-NIH.

Colin M Hammond, Tom Owen-Hughes, David G Norman

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025
    Review
  2. Modeling of Cu(II)-based protein spin labels using rotamer libraries.Physical chemistry chemical physics : PCCP · 2024
    Article
  3. The contribution of modern EPR to structural biology.Emerging topics in life sciences · 2018
    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

3 authors.

Colin M HammondCentre for Gene Regulation and Expression, University of Dundee, Dundee DD1 5EH, UK.
Tom Owen-HughesCentre for Gene Regulation and Expression, University of Dundee, Dundee DD1 5EH, UK. Electronic address: t.a.owenhughes@dundee.ac.uk.
David G NormanNucleic Acids Structure Research Group, University of Dundee, Dundee DD1 5EH, UK. Electronic address: d.g.norman@dundee.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/E022286/1Medical Research Council G1100021Wellcome Trust 097945
6 · The paper itself

Abstract

Crystallographic and NMR approaches have provided a wealth of structural information about protein domains. However, often these domains are found as components of larger multi domain polypeptides or complexes. Orienting domains within such contexts can provide powerful new insight into their function. The combination of site specific spin labelling and Pulsed Electron Double Resonance (PELDOR) provide a means of obtaining structural measurements that can be used to generate models describing how such domains are oriented. Here we describe a pipeline for modelling the location of thio-reactive nitroxyl spin locations to engineered sties on the histone chaperone Vps75. We then use a combination of experimentally determined measurements and symmetry constraints to model the orientation in which homodimers of Vps75 associate to form homotetramers using the XPLOR-NIH platform. This provides a working example of how PELDOR measurements can be used to generate a structural model.

Indexed as

Models, MolecularSoftwareComputational BiologyElectron Spin Resonance SpectroscopyHistone ChaperonesSpin LabelsHistone ChaperonesSpin LabelsChromatinDEERMTSSLwizardPELDORVps75XPLOR-NIH

Identifiers

PMID25448300
PMCPMC4274318

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.