Evidence map›Paper›PMID 21034466›Full record

ArticleBMC structural biology2010

CoNSEnsX: an ensemble view of protein structures and NMR-derived experimental data.

Annamária F Angyán, Balázs Szappanos, András Perczel, Zoltán Gáspári

Open access · hybridAbstract read
In one paragraph

Article in BMC structural biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Annamária F AngyánLaboratory of Structural Chemistry and Biology, Institute of Chemistry, Eötvös Loránd University, Budapest, Hungary.
Balázs Szappanos
András Perczel
Zoltán Gáspári
Eötvös Loránd University · HUHUN-REN Szegedi Biológiai Kutatóközpont · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn conjunction with the recognition of the functional role of internal dynamics of proteins at various timescales, there is an emerging use of dynamic structural ensembles instead of individual conformers. These ensembles are usually substantially more diverse than conventional NMR ensembles and eliminate the expectation that a single conformer should fulfill all NMR parameters originating from 10(16) - 10(17) molecules in the sample tube. Thus, the accuracy of dynamic conformational ensembles should be evaluated differently to that of single conformers.

resultsWe constructed the web application CoNSEnsX (Consistency of NMR-derived Structural Ensembles with eXperimental data) allowing fast, simple and convenient assessment of the correspondence of the ensemble as a whole with diverse independent NMR parameters available. We have chosen different ensembles of three proteins, human ubiquitin, a small protease inhibitor and a disordered subunit of cGMP phosphodiesterase 5/6 for detailed evaluation and demonstration of the capabilities of the CoNSEnsX approach.

conclusionsOur results present a new conceptual method for the evaluation of dynamic conformational ensembles resulting from NMR structure determination. The designed CoNSEnsX approach gives a complete evaluation of these ensembles and is freely available as a web service at http://consensx.chem.elte.hu.

Indexed as

InternetModels, MolecularMolecular Dynamics SimulationProtein ConformationSoftwareCyclic Nucleotide Phosphodiesterases, Type 6HumansNuclear Magnetic Resonance, BiomolecularProteinsSerine Proteinase InhibitorsUbiquitinCyclic Nucleotide Phosphodiesterases, Type 6ProteinsSerine Proteinase InhibitorsUbiquitin

Identifiers

PMID21034466
PMCPMC2987814
OpenAlexW2076223436

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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.