ArticleJournal of biomolecular NMR2015
Optimized co-solute paramagnetic relaxation enhancement for the rapid NMR analysis of a highly fibrillogenic peptide.
Article in Journal of biomolecular NMR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Accurate measurement of longitudinal paramagnetic relaxation enhancement through division after subtraction.Magnetic resonance letters · 2027Article
- Paramagnetic Chemical Probes for Studying Biological Macromolecules.Chemical reviews · 2022Review
- The contribution of electrostatics to hydrogen exchange in the unfolded protein state.Biophysical journal · 2021Article
- Conservation of the Amyloid Interactome Across Diverse Fibrillar Structures.Scientific reports · 2019Article
- Theory and practice of using solvent paramagnetic relaxation enhancement to characterize protein conformational dynamics.Methods (San Diego, Calif.) · 2018Article
- All-Atom Simulations Reveal How Single-Point Mutations Promote Serpin Misfolding.Biophysical journal · 2018Article
- Critical Influence of Cosolutes and Surfaces on the Assembly of Serpin-Derived Amyloid Fibrils.Biophysical journal · 2017Article
- MOAG-4 promotes the aggregation of α-synuclein by competing with self-protective electrostatic interactions.The Journal of biological chemistry · 2017Article
- Six- and seven-dimensional experiments by combination of sparse random sampling and projection spectroscopy dedicated for backbone resonance assignment of intrinsically disordered proteins.Journal of biomolecular NMR · 2015Article
- Solution NMR Experiment for Measurement of (15)N-(1)H Residual Dipolar Couplings in Large Proteins and Supramolecular Complexes.Journal of the American Chemical Society · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Co-solute paramagnetic relaxation enhancement (PRE) is an attractive way to speed up data acquisition in NMR spectroscopy by shortening the T 1 relaxation time of the nucleus of interest and thus the necessary recycle delay. Here, we present the rationale to utilize high-spin iron(III) as the optimal transition metal for this purpose and characterize the properties of its neutral chelate form Fe(DO3A) as a suitable PRE agent. Fe(DO3A) effectively reduces the T 1 values across the entire sequence of the intrinsically disordered protein α-synuclein with negligible impact on line width. The agent is better suited than currently used alternatives, shows no specific interaction with the polypeptide chain and, due to its high relaxivity, is effective at low concentrations and in 'proton-less' NMR experiments. By using Fe(DO3A) we were able to complete the backbone resonance assignment of a highly fibrillogenic peptide from α1-antitrypsin by acquiring the necessary suite of multidimensional NMR datasets in 3 h.
Indexed as
Identifiers
25820763What 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.