ReviewMethods in molecular biology (Clifton, N.J.)2018
NMR of Macromolecular Assemblies and Machines at 1 GHz and Beyond: New Transformative Opportunities for Molecular Structural Biology.
Review in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Article
- Neural Networks for Conversion of Simulated NMR Spectra from Low-Field to High-Field for Quantitative Metabolomics.Metabolites · 2024Article
- A Review of Electromagnetic Fields in Cellular Interactions and Cacao Bean Fermentation.Foods (Basel, Switzerland) · 2024Review
- Ultrafast Magic Angle Spinning Solid-State NMR Spectroscopy: Advances in Methodology and Applications.Chemical reviews · 2023Review
- New Development in Understanding Drug-Polymer Interactions in Pharmaceutical Amorphous Solid Dispersions from Solid-State Nuclear Magnetic Resonance.Molecular pharmaceutics · 2022Review
- Solid-State NMR Investigations of Extracellular Matrixes and Cell Walls of Algae, Bacteria, Fungi, and Plants.Chemical reviews · 2022Review
- Residue-based pharmacophore approaches to study protein-protein interactions.Current opinion in structural biology · 2021Review
- Polymorphic Forms of Valinomycin Investigated by NMR Crystallography.International journal of molecular sciences · 2020Article
- Glycan structures and their interactions with proteins. A NMR view.Current opinion in structural biology · 2020Review
- Sensitivity boosts by the CPMAS CryoProbe for challenging biological assemblies.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2020Article
- Use of paramagnetic systems to speed-up NMR data acquisition and for structural and dynamic studies.Solid state nuclear magnetic resonance · 2019Review
- Two decades of progress in structural and dynamic studies of amyloids by solid-state NMR.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2019Review
- Isotopic Labeling of Eukaryotic Membrane Proteins for NMR Studies of Interactions and Dynamics.Methods in enzymology · 2019Article
- New applications of solid-state NMR in structural biology.Emerging topics in life sciences · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
As a result of profound gains in sensitivity and resolution afforded by ultrahigh magnetic fields, transformative applications in the fields of structural biology and materials science are being realized. The development of dual low temperature superconducting (LTS)/high-temperature superconducting (HTS) magnets has enabled the achievement of magnetic fields above 1 GHz (23.5 T), which will open doors to an unprecedented new range of applications. In this contribution, we discuss the promise of ultrahigh field magnetic resonance. We highlight several methodological developments pertinent at high-magnetic fields including measurement of
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.