Evidence map›Paper›PMID 27225523›Full record

ArticleJournal of the American Chemical Society2016

Geometric Approximation: A New Computational Approach To Characterize Protein Dynamics from NMR Adiabatic Relaxation Dispersion Experiments.

Fa-An Chao, R Andrew Byrd

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2026
    Article
  3. Review
  4. Article
  5. Complete solution for rotating frame relaxation functions during adiabatic pulses.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025
    Article
  6. Article
  7. The Landau-Zener-Stückelberg-Majorana transition in the TJournal of magnetic resonance (San Diego, Calif. : 1997) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Protein Dynamics revealed by NMR Relaxation Methods.Emerging topics in life sciences · 2020
    Article
  14. Relaxing with liquids and solids - A perspective on biomolecular dynamics.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2019
    Review
  15. Article
  16. Chemical Exchange.Methods in enzymology · 2019
    Article
  17. Article
  18. Application of geometric approximation to the CPMG experiment: Two- and three-site exchange.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2017
    Article
  19. General expressions for RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2017
    Article
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.

Fa-An ChaoStructural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute , Frederick, Maryland 21702-1201, United States.
R Andrew ByrdStructural Biophysics Laboratory, Center for Cancer Research, National Cancer Institute , Frederick, Maryland 21702-1201, United States.

Funding

Methods DevelopmentZIABC011132 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BYRD, ROBERT · 2009 to 2024
$4.6M
Structural Biology of Proteins Involved in Signal Transduction and Regulation ofZ01BC010346 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BYRD, R ANDREW · 2000 to 2008
$1.7M
Intramural NIH HHS Z01 BC010346
6 · The paper itself

Abstract

A new computational strategy is reported that provides a fast approximation of numerical solutions of differential equations in general. The method is demonstrated with the analysis of NMR adiabatic relaxation dispersion experiments to reveal biomolecular dynamics. When an analytical solution to the theoretical equations describing a physical process is not available, the new approach can significantly accelerate the computational speed of the conventional numerical integration up to 10(5) times. NMR adiabatic relaxation dispersion experiments enhanced with optimized proton-decoupled pulse sequences, although extremely powerful, have previously been refractory to quantitative analysis. Both simulations and experimental validation demonstrate detectable "slow" (microsecond to millisecond) conformational exchange rates from 10(2) to 10(5) s(-1). This greatly expanded time-scale range enables the characterization of a wide array of conformational fluctuations for individual residues, which correlate with biomolecular function and were previously inaccessible. Moreover, the new computational method can be potentially generalized for analysis of new types of relaxation dispersion experiments to characterize the various dynamics of biomolecular systems.

Indexed as

Models, TheoreticalComputational BiologyComputer SimulationKineticsNuclear Magnetic Resonance, BiomolecularProtein ConformationProtonsUbiquitin-Conjugating EnzymesProtonsUbiquitin-Conjugating Enzymes

Identifiers

PMID27225523
PMCPMC6344943

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Registered trials

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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.