Evidence map›Paper›PMID 36687382›Full record

ArticleBiophysicist (Rockville, Md.)2022

Dynamical Models of Chemical Exchange in Nuclear Magnetic Resonance Spectroscopy.

Nicolas Daffern, Christopher Nordyke, Meiling Zhang, Arthur G Palmer, John E Straub

Open access · bronzeAbstract read
In one paragraph

Article in Biophysicist (Rockville, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. The potent PHL4 transcription factor effector domain contains significant disorder.Protein science : a publication of the Protein Society · 2024
    Article
  2. Breaking down walls: Continuous potential models for internal motions in NMR spin relaxation.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024
    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

5 authors at 5 institutions in 1 country.

Nicolas DaffernDepartment of Molecular Biosciences, Northwestern University, 4162 Cook Hall, Evanston, IL 60208.
Christopher NordykeDepartment of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, 46 College Road, Durham, NH 03824.
Meiling ZhangDepartment of Chemistry and Biochemistry, University of Notre Dame, 236 Nieuwland Science Hall, Notre Dame, IN 46556.
Arthur G PalmerDepartment of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, New York, NY 10032.
John E StraubDepartment of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215.
Boston University · USColumbia University · USNorthwestern University · USUniversity of New Hampshire · USUniversity of Notre Dame · US

Funding

TR&D4: Integrated pipeline for data analysisP41GM118302 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI PALMER, ARTHUR G · 2017 to 2021
$8.5M
RM1 Center on Macromolecular Dynamics by NMR Spectroscopy at the New York Structural Biology Center (CoMD/NMR)- Equipment Supplement RequestRM1GM145397 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI ARTHUR G PALMER · 2022 to 2026
$8.3M
Macromolecular dynamics and conformational changes in biological functionR35GM130398 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ARTHUR G PALMER · 2019 to 2026
$4.6M
Molecular Biophysics Training Program at Northwestern UniversityT32GM008382 · NIGMS · NORTHWESTERN UNIVERSITY · PI RADHAKRISHNAN, ISHWAR · 1990 to 2020
$4.3M
Bacterial Mechanisms for Establishing and Maintaining Cell PolarityR01GM118792 · NIGMS · UNIVERSITY OF WYOMING · PI BOWMAN, GRANT ROBERT · 2016 to 2019
$821k
NIGMS NIH HHS P41 GM118302NIGMS NIH HHS R01 GM118792NIGMS NIH HHS R35 GM130398NIGMS NIH HHS RM1 GM145397NIGMS NIH HHS T32 GM008382
6 · The paper itself

Abstract

Chemical exchange line-broadening is an important phenomenon in nuclear magnetic resonance (NMR) spectroscopy, in which a nuclear spin experiences more than one magnetic environment as a result of chemical or conformational changes of a molecule. The dynamic process of chemical exchange strongly affects the sensitivity and resolution of NMR experiments, and increasingly provides a powerful probe of the inter-conversion between chemical and conformational states of proteins, nucleic acids, and other biological macromolecules. A simple and often used theoretical description of chemical exchange in NMR spectroscopy is based on an idealized two-state jump model (the random-phase or telegraph signal). However, chemical exchange can also be represented as a barrier-crossing event that can be modeled using chemical reaction rate theory. The time scale of crossing is determined by the barrier height, the temperature, and the dissipation modeled as collisional or frictional damping. This tutorial explores the connection between the NMR theory of chemical exchange line-broadening and strong-collision models for chemical kinetics in statistical mechanics. Theoretical modeling and numerical simulation are used to map the rate of barrier-crossing dynamics of a particle on a potential energy surface to the chemical exchange relaxation rate constant. By developing explicit models for the exchange dynamics, the tutorial aims to elucidate the underlying dynamical processes that give rise to the rich phenomenology of chemical exchange observed in NMR spectroscopy. Software for generating and analyzing the numerical simulations is provided in the form of Python and Fortran source codes.

Indexed as

barrier crossing dynamicschemical kineticscomputational modelingfundamental concepts and techniquesreaction rate theoryspin relaxationstrong-collision modeltutorial

Identifiers

PMID36687382
PMCPMC9850547
OpenAlexW4200595609

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.