Evidence map›Paper›PMID 35762707›Full record

ArticleProtein science : a publication of the Protein Society2022

Beyond structure: Deciphering site-specific dynamics in proteins from double histidine-based EPR measurements.

Kevin Singewald, James A Wilkinson, Zikri Hasanbasri, Sunil Saxena

Open access · greenAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Endogenous Cu(II) Labeling for Distance Measurements on Proteins by EPR.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Article
  5. Modeling of Cu(II)-based protein spin labels using rotamer libraries.Physical chemistry chemical physics : PCCP · 2024
    Article
  6. Article
  7. Review
  8. 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

4 authors at 1 institution in 1 country.

Kevin SingewaldDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA.
James A WilkinsonDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA.
Zikri HasanbasriDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA.
Sunil SaxenaDepartment of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-9098-6114
University of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Site-specific dynamics in proteins are at the heart of protein function. While electron paramagnetic resonance (EPR) has potential to measure dynamics in large protein complexes, the reliance on flexible nitroxide labels is limitating especially for the accurate measurement of site-specific β-sheet dynamics. Here, we employed EPR spectroscopy to measure site-specific dynamics across the surface of a protein, GB1. Through the use of the double Histidine (dHis) motif, which enables labeling with a Cu(II) - nitrilotriacetic acid (NTA) complex, dynamics information was obtained for both α-helical and β-sheet sites. Spectral simulations of the resulting CW-EPR report unique site-specific fluctuations across the surface of GB1. Additionally, we performed molecular dynamics (MD) simulations to complement the EPR data. The dynamics observed from MD agree with the EPR results. Furthermore, we observe small changes in g

Indexed as

HistidineProteinsElectron Spin Resonance SpectroscopyMolecular Dynamics SimulationSpin LabelsHistidineProteinsSpin Labels

Identifiers

PMID35762707
PMCPMC9202549
OpenAlexW4282962344

What OpenQuestion holds

Textmetadata
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.