ArticleNature methods2019
Aromatic
Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed.
- New paradigm of q-CAR drug development targeting disease-specific protein conformations.npj drug discovery · 2026Review
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- Comparative evaluation of noncanonical amino acids as site-specific NMR probes for the complex of E. coli SSB with single-stranded DNA without isotope labelling.The FEBS journal · 2026Article
- The role of the tryptophan-rich allosteric network and sodium egress in GPCR activation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Investigation of the functional hot-spot residues of an enzyme by real-time monitoring of the enzymatic reaction using NMR and computational approaches.Scientific reports · 2026Article
- AcceleratedMagnetic resonance (Gottingen, Germany) · 2026Article
- Enhancing NMR Signals in Liquids by Fluorine-19 Overhauser Dynamic Nuclear Polarization (DNP) and Hyperpolarization Transfer to Carbon-13.Angewandte Chemie (International ed. in English) · 2025Article
- Application of NMR to Large RNAs.Journal of molecular biology · 2025Review
- Advances in Isotope Labeling for Solution Nucleic Acid Nuclear Magnetic Resonance Spectroscopy.ChemPlusChem · 2025Review
- Sharpening the lens of NMR spectroscopy to study large proteins.Nature chemistry · 2025Article
- Leveraging relaxation-optimizedNature chemistry · 2025Article
- Rational design ofNature communications · 2025Article
- Relaxation Optimized Heteronuclear Experiments for Extending the Size Limit of RNA Nuclear Magnetic Resonance.Journal of the American Chemical Society · 2025Article
- Site-Specific Incorporation of Fluorinated Prolines into Proteins and Their Impact on Neighbouring Residues.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025Article
- A combined NMR and deep neural network approach for enhancing the spectral resolution of aromatic side chains in proteins.Science advances · 2024Article
- Transverse relaxation optimized spectroscopy of NHJournal of biomolecular NMR · 2024Article
- Decorating phenylalanine side-chains with triple labeledJournal of biomolecular NMR · 2024Article
- Efficient and economic protein labeling for NMR in mammalian expression systems: Application to a preT-cell and T-cell receptor protein.Protein science : a publication of the Protein Society · 2024Article
- Enhanced TROSY Effect in [2-Angewandte Chemie (International ed. in English) · 2024Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Atomic-level information about the structure and dynamics of biomolecules is critical for an understanding of their function. Nuclear magnetic resonance (NMR) spectroscopy provides unique insights into the dynamic nature of biomolecules and their interactions, capturing transient conformers and their features. However, relaxation-induced line broadening and signal overlap make it challenging to apply NMR spectroscopy to large biological systems. Here we took advantage of the high sensitivity and broad chemical shift range of
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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.