Evidence map›Paper›PMID 30638531›Full record

ArticleMethods in enzymology2019

Characterization of Internal Protein Dynamics and Conformational Entropy by NMR Relaxation.

Matthew A Stetz, José A Caro, Sravya Kotaru, Xuejun Yao, Bryan S Marques, Kathleen G Valentine, A Joshua Wand

Abstract read
In one paragraph

Article in Methods in enzymology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. A steady-state approach for analysis of high-resolution relaxometry.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025
    Article
  4. Pitfalls in measurements of RJournal of biomolecular NMR · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Computational study on the allosteric mechanism ofComputational and structural biotechnology journal · 2021
    Article
  11. Article
  12. Article
  13. DynamicJournal of biomolecular NMR · 2020
    Article
  14. Article
  15. Article
  16. 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

7 authors.

Matthew A StetzJohnson Research Foundation and Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
José A CaroJohnson Research Foundation and Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Sravya KotaruGraduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Xuejun YaoJohnson Research Foundation and Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Bryan S MarquesGraduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Kathleen G ValentineJohnson Research Foundation and Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
A Joshua WandJohnson Research Foundation and Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Graduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: wand@pennmedicine.upenn.edu.

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008275 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WAND, A. JOSHUA · 1988 to 2018
$6.0M
Predoctoral Training at the Chemistry-Biology InterfaceT32GM071339 · NIGMS · WISTAR INSTITUTE · PI MARMORSTEIN, RONEN, SPEICHER, DAVID W. · 2005 to 2019
$3.2M
Predoctoral Training at the Chemistry-Biology InterfaceT32GM133398 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Ronen Marmorstein, Ernest James Petersson · 2020 to 2026
$2.4M
Dynamics & energetics of p38a kinase regulation by ligandsR01GM100910 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI PETI, WOLFGANG, WAND, A. JOSHUA · 2013 to 2016
$1.3M
Defining the role of conformational entropy in high affinity protein interactionsF32GM117878 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI CARO, JOSE A · 2016 to 2017
$113k
NIGMS NIH HHS F32 GM117878NIGMS NIH HHS R01 GM100910NIGMS NIH HHS T32 GM008275NIGMS NIH HHS T32 GM071339NIGMS NIH HHS T32 GM133398
6 · The paper itself

Abstract

Recent studies suggest that the fast timescale motion of methyl-bearing side chains may play an important role in mediating protein activity. These motions have been shown to encapsulate the residual conformational entropy of the folded state that can potentially contribute to the energetics of protein function. Here, we provide an overview of how to characterize these motions using nuclear magnetic resonance (NMR) spin relaxation methods. The strengths and limitations of several techniques are highlighted in order to assist with experimental design. Particular emphasis is placed on the practical aspects of sample preparation, data collection, data fitting, and statistical analysis. Additionally, discussion of the recently refined "entropy meter" is presented and its use in converting NMR observables to conformational entropy is illustrated. Taken together, these methods should yield new insights into the complex interplay between structure and dynamics in protein function.

Indexed as

Protein ConformationHumansMagnetic Resonance SpectroscopyMotionThermodynamicsUbiquitinUbiquitinConformational entropyCross-correlated relaxationDipolar relaxationDynamical proxyIsotopic labelingModel-free analysisNMR relaxationProtein dynamics

Identifiers

PMID30638531
PMCPMC6364297

What OpenQuestion holds

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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.