Evidence map›Paper›PMID 21953355›Full record

ArticleJournal of biomolecular NMR2011

A software framework for analysing solid-state MAS NMR data.

Tim J Stevens, Rasmus H Fogh, Wayne Boucher, Victoria A Higman, Frank Eisenmenger, Benjamin Bardiaux, Barth-Jan van Rossum, Hartmut Oschkinat, Ernest D Laue

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomolecular NMR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

93 citing papers in PubMed, 161 citations in OpenAlex.

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33 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

9 authors at 3 institutions in 2 countries.

Tim J StevensDepartment of Biochemistry, University of Cambridge, UK.
Rasmus H Fogh
Wayne Boucher
Victoria A Higman
Frank Eisenmenger
Benjamin Bardiaux
Barth-Jan van Rossum
Hartmut Oschkinat
Ernest D Laue
Leibniz-Forschungsinstitut für Molekulare Pharmakologie · DEUniversity of Cambridge · GBUniversity of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council B20259Biotechnology and Biological Sciences Research Council BB/E005071/1Biotechnology and Biological Sciences Research Council BB/H004130/1
6 · The paper itself

Abstract

Solid-state magic-angle-spinning (MAS) NMR of proteins has undergone many rapid methodological developments in recent years, enabling detailed studies of protein structure, function and dynamics. Software development, however, has not kept pace with these advances and data analysis is mostly performed using tools developed for solution NMR which do not directly address solid-state specific issues. Here we present additions to the CcpNmr Analysis software package which enable easier identification of spinning side bands, straightforward analysis of double quantum spectra, automatic consideration of non-uniform labelling schemes, as well as extension of other existing features to the needs of solid-state MAS data. To underpin this, we have updated and extended the CCPN data model and experiment descriptions to include transfer types and nomenclature appropriate for solid-state NMR experiments, as well as a set of experiment prototypes covering the experiments commonly employed by solid-sate MAS protein NMR spectroscopists. This work not only improves solid-state MAS NMR data analysis but provides a platform for anyone who uses the CCPN data model for programming, data transfer, or data archival involving solid-state MAS NMR data.

Indexed as

SoftwareFinite Element AnalysisModels, ChemicalNuclear Magnetic Resonance, BiomolecularProteinsStatistics as TopicProteins

Identifiers

PMID21953355
PMCPMC3222832
OpenAlexW1996340455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.