Evidence map›Paper›PMID 36723167›Full record

ArticleBioinformatics (Oxford, England)2023

NMRtist: an online platform for automated biomolecular NMR spectra analysis.

Piotr Klukowski, Roland Riek, Peter Güntert

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. The NMR Exchange Format (NEF): Specification and Applications.bioRxiv : the preprint server for biology · 2026
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  5. Review
  6. Biomolecular NMR assignments · 2025
    Article
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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

3 authors.

Piotr KlukowskiLaboratory of Physical Chemistry, ETH Zurich, 8093 Zurich, Switzerland.
Roland RiekLaboratory of Physical Chemistry, ETH Zurich, 8093 Zurich, Switzerland.
Peter GüntertLaboratory of Physical Chemistry, ETH Zurich, 8093 Zurich, Switzerland.ORCID 0000-0002-2911-7574

Funding

European Union 891690
6 · The paper itself

Abstract

summaryWe present NMRtist, an online platform that combines deep learning, large-scale optimization and cloud computing to automate protein NMR spectra analysis. Our website provides virtual storage for NMR spectra deposition together with a set of applications designed for automated peak picking, chemical shift assignment and protein structure determination. The system can be used by non-experts and allows protein assignments and structures to be determined within hours after the measurements, strictly without any human intervention. AVAILABILITY AND IMPLEMENTATION: NMRtist is freely available to non-commercial users at https://nmrtist.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ProteinsSoftwareHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNuclear Magnetic Resonance, BiomolecularProteins

Identifiers

PMID36723167
PMCPMC9913044

What OpenQuestion holds

Textmetadata
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.