Evidence map›Paper›PMID 23143278›Full record

ArticleJournal of biomolecular NMR2012

Rapid prediction of multi-dimensional NMR data sets.

Sabine Gradmann, Christian Ader, Ines Heinrich, Deepak Nand, Marc Dittmann, Abhishek Cukkemane, Marc van Dijk, Alexandre M J J Bonvin, Martin Engelhard, Marc Baldus

Abstract read
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In one paragraph

Article in Journal of biomolecular NMR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. CombinedStructure (London, England : 1993) · 2018
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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

10 authors.

Sabine GradmannBijvoet Center for Biomolecular Research, Utrecht University, Padualaan CH, Utrecht, The Netherlands.
Christian Ader
Ines Heinrich
Deepak Nand
Marc Dittmann
Abhishek Cukkemane
Marc van Dijk
Alexandre M J J Bonvin
Martin Engelhard
Marc Baldus

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a computational environment for Fast Analysis of multidimensional NMR DAta Sets (FANDAS) that allows assembling multidimensional data sets from a variety of input parameters and facilitates comparing and modifying such "in silico" data sets during the various stages of the NMR data analysis. The input parameters can vary from (partial) NMR assignments directly obtained from experiments to values retrieved from in silico prediction programs. The resulting predicted data sets enable a rapid evaluation of sample labeling in light of spectral resolution and structural content, using standard NMR software such as Sparky. In addition, direct comparison to experimental data sets can be used to validate NMR assignments, distinguish different molecular components, refine structural models or other parameters derived from NMR data. The method is demonstrated in the context of solid-state NMR data obtained for the cyclic nucleotide binding domain of a bacterial cyclic nucleotide-gated channel and on membrane-embedded sensory rhodopsin II. FANDAS is freely available as web portal under WeNMR ( http://www.wenmr.eu/services/FANDAS ).

Indexed as

Databases, FactualSoftwareAlgorithmsBinding SitesCyclic Nucleotide-Gated Cation ChannelsNuclear Magnetic Resonance, BiomolecularSensory RhodopsinsCyclic Nucleotide-Gated Cation ChannelsSensory Rhodopsins

Identifiers

What OpenQuestion holds

Textmetadata
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.