Evidence map›Paper›PMID 37632831›Full record

ArticleProtein science : a publication of the Protein Society2023

Direct observation of negative cooperativity in a detoxification enzyme at the atomic level by Electron Paramagnetic Resonance spectroscopy and simulation.

Xiaowei Bogetti, Anthony Bogetti, Joshua Casto, Gordon Rule, Lillian Chong, Sunil Saxena

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Endogenous Cu(II) Labeling for Distance Measurements on Proteins by EPR.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Article
  6. WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data.Journal of chemical information and modeling · 2024
    Article
  7. Article
  8. Modeling of Cu(II)-based protein spin labels using rotamer libraries.Physical chemistry chemical physics : PCCP · 2024
    Article
  9. Article
  10. Article
  11. Weighted Ensemble Simulation: Advances in methods, software, and applications.Wiley interdisciplinary reviews. Computational molecular science
    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

6 authors at 2 institutions in 1 country.

Xiaowei BogettiDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Anthony BogettiDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Joshua CastoDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Gordon RuleDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Lillian ChongDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sunil SaxenaDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-9098-6114
University of Pittsburgh · USCarnegie Mellon University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The catalytic activity of human glutathione S-transferase A1-1 (hGSTA1-1), a homodimeric detoxification enzyme, is dependent on the conformational dynamics of a key C-terminal helix α9 in each monomer. However, the structural details of how the two monomers interact upon binding of substrates is not well understood and the structure of the ligand-free state of the hGSTA1-1 homodimer has not been resolved. Here, we used a combination of electron paramagnetic resonance (EPR) distance measurements and weighted ensemble (WE) simulations to characterize the conformational ensemble of the ligand-free state at the atomic level. EPR measurements reveal a broad distance distribution between a pair of Cu(II) labels in the ligand-free state that gradually shifts and narrows as a function of increasing ligand concentration. These shifts suggest changes in the relative positioning of the two α9 helices upon ligand binding. WE simulations generated unbiased pathways for the seconds-timescale transition between alternate states of the enzyme, leading to the generation of atomically detailed structures of the ligand-free state. Notably, the simulations provide direct observations of negative cooperativity between the monomers of hGSTA1-1, which involve the mutually exclusive docking of α9 in each monomer as a lid over the active site. We identify key interactions between residues that lead to this negative cooperativity. Negative cooperativity may be essential for interaction of hGSTA1-1 with a wide variety of toxic substrates and their subsequent neutralization. More broadly, this work demonstrates the power of integrating EPR distances with WE rare-events sampling strategy to gain mechanistic information on protein function at the atomic level.

Indexed as

Electron Spin Resonance SpectroscopyCatalytic DomainComputer SimulationHumansLigandsLigandsDEERdetoxification enzymeEnhanced sampling MDGSTprotein dynamics

Identifiers

PMID37632831
PMCPMC10503414
OpenAlexW4386189004

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.