Evidence map›Paper›PMID 27744147›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2016

Optimization of identity operation in NMR spectroscopy via genetic algorithm: Application to the TEDOR experiment.

V S Manu, Gianluigi Veglia

Abstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. PHRONESIS: A One-Shot Approach for Sequential Assignment of Protein Resonances by Ultrafast MAS Solid-State NMR Spectroscopy.Chemphyschem : a European journal of chemical physics and physical chemistry · 2022
    Article
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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

2 authors.

V S ManuDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, United States.
Gianluigi VegliaDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, United States; Department of Chemistry, University of Minnesota, Minneapolis, MN 55455, United States. Electronic address: vegli001@umn.edu.

Funding

NMR Structural Analysis of Calcium Regulation in MuscleR01GM064742 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VEGLIA, GIANLUIGI · 2002 to 2019
$7.1M
Structural Basis Of Dilated CardiomyopathyR01GM072701 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2007 to 2015
$2.4M
NIGMS NIH HHS R01 GM064742NIGMS NIH HHS R01 GM072701
6 · The paper itself

Abstract

Identity operation in the form of π pulses is widely used in NMR spectroscopy. For an isolated single spin system, a sequence of even number of π pulses performs an identity operation, leaving the spin state essentially unaltered. For multi-spin systems, trains of π pulses with appropriate phases and time delays modulate the spin Hamiltonian to perform operations such as decoupling and recoupling. However, experimental imperfections often jeopardize the outcome, leading to severe losses in sensitivity. Here, we demonstrate that a newly designed Genetic Algorithm (GA) is able to optimize a train of π pulses, resulting in a robust identity operation. As proof-of-concept, we optimized the recoupling sequence in the transferred-echo double-resonance (TEDOR) pulse sequence, a key experiment in biological magic angle spinning (MAS) solid-state NMR for measuring multiple carbon-nitrogen distances. The GA modified TEDOR (GMO-TEDOR) experiment with improved recoupling efficiency results in a net gain of sensitivity up to 28% as tested on a uniformly

Indexed as

AlgorithmsMagnetic Resonance SpectroscopyUbiquitinUbiquitinComposite pulsesDipolar recouplingGenetic algorithm optimizationREDOR/TEDOR

Identifiers

PMID27744147
PMCPMC5423402

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Registered trials

None linked

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.