Evidence map›Paper›PMID 31664028›Full record

ArticleNature communications2019

Automatic structure-based NMR methyl resonance assignment in large proteins.

Iva Pritišanac, Julia M Würz, T Reid Alderson, Peter Güntert

Abstract readEvaluation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. AMIGO - Guided assignment ofJournal of biomolecular NMR · 2026
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  6. Virus-Glycan Interactions Studied by Solute NMR.Methods in molecular biology (Clifton, N.J.) · 2025
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  7. Review
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  9. Synthesis ofOrganic & biomolecular chemistry · 2023
    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

4 authors.

Iva PritišanacInstitute of Biophysical Chemistry, Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt am Main, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-9152-6555
Julia M WürzInstitute of Biophysical Chemistry, Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt am Main, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.
T Reid AldersonLaboratory of Chemical Physics, NIDDK, National Institutes of Health, Bethesda, MD, 20892-0520, USA.ORCID http://orcid.org/0000-0001-5163-2276
Peter GüntertInstitute of Biophysical Chemistry, Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt am Main, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany. guentert@em.uni-frankfurt.de.ORCID http://orcid.org/0000-0002-2911-7574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isotopically labeled methyl groups provide NMR probes in large, otherwise deuterated proteins. However, the resonance assignment constitutes a bottleneck for broader applicability of methyl-based NMR. Here, we present the automated MethylFLYA method for the assignment of methyl groups that is based on methyl-methyl nuclear Overhauser effect spectroscopy (NOESY) peak lists. MethylFLYA is applied to five proteins (28-358 kDa) comprising a total of 708 isotope-labeled methyl groups, of which 612 contribute NOESY cross peaks. MethylFLYA confidently assigns 488 methyl groups, i.e. 80% of those with NOESY data. Of these, 459 agree with the reference, 6 were different, and 23 were without reference assignment. MethylFLYA assigns significantly more methyl groups than alternative algorithms, has an average error rate of 1%, modest runtimes of 0.4-1.2 h, and can handle arbitrary isotope labeling patterns and data from other types of NMR spectra.

Indexed as

AlgorithmsAutomationMethylationModels, MolecularMolecular WeightNuclear Magnetic Resonance, BiomolecularProteinsSoftwareProteins

Identifiers

PMID31664028
PMCPMC6820720

What OpenQuestion holds

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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.