Evidence map›Paper›PMID 25404135›Full record

ArticleNucleic acids research2014

Accurate ab initio prediction of NMR chemical shifts of nucleic acids and nucleic acids/protein complexes.

Andrea Victora, Heiko M Möller, Thomas E Exner

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. DELTA50: A Highly Accurate Database of ExperimentalMolecules (Basel, Switzerland) · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Chemical shift-based methods in NMR structure determination.Progress in nuclear magnetic resonance spectroscopy
    Review
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.

Andrea VictoraDepartment of Chemistry and Zukunftskolleg, Universität Konstanz, 78457 Konstanz, Germany.
Heiko M MöllerInstitute of Chemistry, University of Potsdam, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam OT Golm, Germany.
Thomas E ExnerDepartment of Chemistry and Zukunftskolleg, Universität Konstanz, 78457 Konstanz, Germany Institute of Pharmacy, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 8, 72076 Tübingen, Germany Thomas.Exner@uni-tuebingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NMR chemical shift predictions based on empirical methods are nowadays indispensable tools during resonance assignment and 3D structure calculation of proteins. However, owing to the very limited statistical data basis, such methods are still in their infancy in the field of nucleic acids, especially when non-canonical structures and nucleic acid complexes are considered. Here, we present an ab initio approach for predicting proton chemical shifts of arbitrary nucleic acid structures based on state-of-the-art fragment-based quantum chemical calculations. We tested our prediction method on a diverse set of nucleic acid structures including double-stranded DNA, hairpins, DNA/protein complexes and chemically-modified DNA. Overall, our quantum chemical calculations yield highly/very accurate predictions with mean absolute deviations of 0.3-0.6 ppm and correlation coefficients (r(2)) usually above 0.9. This will allow for identifying misassignments and validating 3D structures. Furthermore, our calculations reveal that chemical shifts of protons involved in hydrogen bonding are predicted significantly less accurately. This is in part caused by insufficient inclusion of solvation effects. However, it also points toward shortcomings of current force fields used for structure determination of nucleic acids. Our quantum chemical calculations could therefore provide input for force field optimization.

Indexed as

Antiviral AgentsCidofovirCytosineDNADNA-Binding ProteinsG-QuadruplexesLac RepressorsModels, MolecularNuclear Magnetic Resonance, BiomolecularOperator Regions, GeneticOrganophosphonatesPromoter Regions, GeneticProtein BindingProtonsAntiviral AgentsCidofovirCytosineDNADNA-Binding ProteinsLac RepressorsOrganophosphonatesProtons

Identifiers

PMID25404135
PMCPMC4267612

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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.