Evidence map›Paper›PMID 26821600›Full record

ArticleAngewandte Chemie (International ed. in English)2016

Rapid Determination of Fast Protein Dynamics from NMR Chemical Exchange Saturation Transfer Data.

Yina Gu, Alexandar L Hansen, Yu Peng, Rafael Brüschweiler

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Fast evaluation of protein dynamics from deficientJournal of biomolecular NMR · 2018
    Article
  8. Analytical biochemistry · 2018
    Article
  9. Review
  10. 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.

Yina GuDepartment of Chemistry and Biochemistry, The Ohio State University, 100 West 18th Avenue, Columbus, OH, 43210, USA.
Alexandar L HansenCampus Chemical Instrument Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA.
Yu PengDepartment of Chemistry and Biochemistry, The Ohio State University, 100 West 18th Avenue, Columbus, OH, 43210, USA.
Rafael BrüschweilerDepartment of Chemistry and Biochemistry, The Ohio State University, 100 West 18th Avenue, Columbus, OH, 43210, USA. bruschweiler.1@osu.edu.

Funding

Functional Dynamics During Induced-fit Enzyme TurnoverR01GM077643 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI CHAPMAN, MICHAEL S. · 2007 to 2015
$2.7M
NIGMS NIH HHS 5R01GM077643NIGMS NIH HHS R01 GM077643
6 · The paper itself

Abstract

Functional motions of (15)N-labeled proteins can be monitored by solution NMR spin relaxation experiments over a broad range of timescales. These experiments however typically take of the order of several days to a week per protein. Recently, NMR chemical exchange saturation transfer (CEST) experiments have emerged to probe slow millisecond motions complementing R1ρ and CPMG-type experiments. CEST also simultaneously reports on site-specific R1 and R2 parameters. It is shown here how CEST-derived R1 and R2 relaxation parameters can be measured within a few hours at an accuracy comparable to traditional relaxation experiments. Using a "lean" version of the model-free approach S(2) order parameters can be determined that match those from the standard model-free approach applied to (15)N R1, R2 , and {(1)H}-(15)N NOE data. The new methodology, which is demonstrated for ubiquitin and arginine kinase (42 kDa), should serve as an effective screening tool of protein dynamics from picosecond-to-millisecond timescales.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProteinsProteinsCESTlean model-free analysisNMR spectroscopyprotein dynamicsspin relaxation

Identifiers

PMID26821600
PMCPMC5035698

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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.