bioRxivBiophysicsPreprint
Robust of AMBER force field parameters for glutathionylated cysteines
Abstract
S-glutathionylation is an oxidative post-translational modification which is involved in the regulation of many cell signaling pathways. Increasing amounts of studies show that it is crucial in cell homeostasis and deregulated in several pathologies. However, the effect of S-glutathionylation on proteins structure and activity is poorly understood, and a drastic lack of structural information at the atomic scale remains. Studies based on the use of molecular dynamics simulations, which can provide important information about modification-induced modulation of proteins structure and function, are also sparse and there is no benchmarked force field parameters for this modified cysteine. In this contribution, we provide robust AMBER parameters for S-glutathionylation, that we tested extensively against experimental data through a total of 33 s molecular dynamics simulations. We show that our parameters set efficiently describe the global and local structural properties of S-glutathionylated proteins. These data provide the community with an important tool to stimulate investigations about the effect of S-glutathionylation on protein dynamics and function, in a common effort to unravel the structural mechanisms underlying its critical role in cellular processes.
- assay: protein structure
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cysteine Glutathionylation as a Global Dynamic Regulator of Protein Active Site Accessibility and Protein Complex Formation
Kish R. Adoni, Nikolaos Tataridas-Pallas, … Konstantinos Thalassinos·bioRxiv·Jan 15, 2026
- Structural snapshots of nitrosoglutathione binding and reactivity underlying S-nitrosylation of photosynthetic GAPDH
E. J. Mattioli, J. Rossi, … M. Zaffagnini·bioRxiv·May 3, 2022
- Developing and Benchmarking Sulfate and Sulfamate Force Field Parameters for Glycosaminoglycans via Ab Initio Molecular Dynamics Simulations
Miguel Riopedre-Fernández, Vojtěch Košťál, … Denys Biriukov·Journal of Chemical Information and ModelingPeer-reviewed·Sep 9, 2024
- Protocols for Multi-Scale Molecular Dynamics Simulations: A Comparative Study for Intrinsically Disordered Amyloid Beta in Amber & Gromacs on CPU & GPU
Pamela Smardz, Midhun Mohan Anila, … Paweł Krupa·International Journal of Molecular SciencesPeer-reviewed·Jun 18, 2024
- The (implicit) force is with you: an application of the implicit function theorem for automatic protein force fields reparametrization
Satya Tamby, Arditë Bujupaj, Gabriele Orlando·bioRxiv·Oct 16, 2026
- An Allosteric Cholesterol Site in Glycine Receptors Characterized Through Molecular Simulations
F. Jalalypour, R. J. Howard, E. Lindahl·bioRxiv·Mar 5, 2024