Evidence map›Paper›PMID 32185644›Full record

ArticleJournal of biomolecular NMR2020

MAS NMR detection of hydrogen bonds for protein secondary structure characterization.

Daniel Friedrich, Jacqueline Perodeau, Andrew J Nieuwkoop, Hartmut Oschkinat

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  6. Review
  7. Chemical reviews · 2022
    Review
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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.

Daniel FriedrichLeibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Robert-Rössle-Strasse 10, 13125, Berlin, Germany.
Jacqueline PerodeauDepartment of Chemistry and Chemical Biology, Rutgers University, 123 Bevier Rd., Piscataway, NJ, 08854, United States.
Andrew J NieuwkoopDepartment of Chemistry and Chemical Biology, Rutgers University, 123 Bevier Rd., Piscataway, NJ, 08854, United States. an567@chem.rutgers.edu.
Hartmut OschkinatLeibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Robert-Rössle-Strasse 10, 13125, Berlin, Germany. oschkinat@fmp-berlin.de.

Funding

Deutsche Forschungsgemeinschaft FR 4220/1-1Deutsche Forschungsgemeinschaft SFB 1078 B1European Molecular Biology Organization ALTF 35-2019Human Frontier Science Program LT000022/2019-L
6 · The paper itself

Abstract

Hydrogen bonds are essential for protein structure and function, making experimental access to long-range interactions between amide protons and heteroatoms invaluable. Here we show that measuring distance restraints involving backbone hydrogen atoms and carbonyl- or α-carbons enables the identification of secondary structure elements based on hydrogen bonds, provides long-range contacts and validates spectral assignments. To this end, we apply specifically tailored, proton-detected 3D (H)NCOH and (H)NCAH experiments under fast magic angle spinning (MAS) conditions to microcrystalline samples of SH3 and GB1. We observe through-space, semi-quantitative correlations between protein backbone carbon atoms and multiple amide protons, enabling us to determine hydrogen bonding patterns and thus to identify β-sheet topologies and α-helices in proteins. Our approach shows the value of fast MAS and suggests new routes in probing both secondary structure and the role of functionally-relevant protons in all targets of solid-state MAS NMR.

Indexed as

Hydrogen BondingProtein Structure, SecondaryAmyloidNuclear Magnetic Resonance, BiomolecularPancreatic ElastaseProtein FoldingProtonssrc Homology DomainsAmyloidPancreatic ElastaseProtonsCross polarizationFast MASHydrogen bondsProton detectionSecondary structure

Identifiers

PMID32185644
PMCPMC7211791

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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.