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.
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.
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11 citing papers in PubMed, 14 citations in OpenAlex.
- Large-scale protein conformational transitions revealed by weighted ensemble simulations and EPR.Chemical science · 2026Article
- Generation of Pathway Signatures by Combining Normal Modes with Weighted Ensemble Simulations.bioRxiv : the preprint server for biology · 2026Article
- Rational Design of a Cu(II) Spin Label Improves the Sensitivity of Distance Measurements.The journal of physical chemistry letters · 2025Article
- Recent advances in quantifying protein conformational ensembles with dipolar EPR spectroscopy.Current opinion in structural biology · 2025Review
- Endogenous Cu(II) Labeling for Distance Measurements on Proteins by EPR.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024Article
- WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data.Journal of chemical information and modeling · 2024Article
- Revisiting Textbook Azide-Clock Reactions: A "Propeller-Crawling" Mechanism Explains Differences in Rates.Journal of the American Chemical Society · 2024Article
- Modeling of Cu(II)-based protein spin labels using rotamer libraries.Physical chemistry chemical physics : PCCP · 2024Article
- Pulse Dipolar Electron Paramagnetic Resonance Spectroscopy Distance Measurements at Low Nanomolar Concentrations: The CuThe journal of physical chemistry letters · 2024Article
- Direct observation of negative cooperativity in a detoxification enzyme at the atomic level by Electron Paramagnetic Resonance spectroscopy and simulation.Protein science : a publication of the Protein Society · 2023Article
- Weighted Ensemble Simulation: Advances in methods, software, and applications.Wiley interdisciplinary reviews. Computational molecular scienceArticle
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6 authors at 2 institutions in 1 country.
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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.
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