Evidence map›Paper›PMID 35734611›Full record

ArticleMagnetic resonance letters2022

On the use of residual dipolar couplings in multi-state structure calculation of two-domain proteins.

Alexandra Born, Morkos A Henen, Parker J Nichols, Beat Vögeli

Abstract read
In one paragraph

Article in Magnetic resonance letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Alexandra BornUniversity of Colorado Anschutz Medical Campus, Department of Biochemistry and Molecular Genetics, 12801 East 17 Avenue, Aurora, CO 80045, USA.
Morkos A HenenUniversity of Colorado Anschutz Medical Campus, Department of Biochemistry and Molecular Genetics, 12801 East 17 Avenue, Aurora, CO 80045, USA.
Parker J NicholsUniversity of Colorado Anschutz Medical Campus, Department of Biochemistry and Molecular Genetics, 12801 East 17 Avenue, Aurora, CO 80045, USA.
Beat VögeliUniversity of Colorado Anschutz Medical Campus, Department of Biochemistry and Molecular Genetics, 12801 East 17 Avenue, Aurora, CO 80045, USA.ORCID 0000-0003-1176-3137

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Dynein-adaptor interaction mechanisms and malfunction at atomic resolutionR01GM130694 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI VOGELI, BEAT ROLF · 2019 to 2022
$1.3M
600 MHz NMR console and cold probeS10OD025020 · OD · UNIVERSITY OF COLORADO DENVER · PI JONES, DAVID NIGEL · 2018 to 2018
$501k
NCI NIH HHS P30 CA046934NIGMS NIH HHS R01 GM130694NIH HHS S10 OD025020
6 · The paper itself

Abstract

Residual dipolar couplings (RDCs) are powerful nuclear magnetic resonance (NMR) probes for the structure calculation of biomacromolecules. Typically, an alignment tensor that defines the orientation of the entire molecule relative to the magnetic field is determined either before refinement of individual bond vectors or simultaneously with this refinement. For single-domain proteins this approach works well since all bond vectors can be described within the same coordinate frame, which is given by the alignment tensor. However, novel approaches are sought after for systems where no universal alignment tensor can be used. Here, we present an approach that can be applied to two-domain proteins that enables the calculation of multiple states within each domain as well as with respect to the relative positions of the two domains.

Indexed as

multi-state structureRDCresidual dipolar couplingtwo-domain protein

Identifiers

PMID35734611
PMCPMC9210859

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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.