How Biochemical Environments Fine-Tune a Redox Process: From Theoretical Models to Practical Applications

Autor: Goedele Roos, Ramón Alain Miranda-Quintana, Marco Martínez González
Přispěvatelé: Unité de Glycobiologie Structurale et Fonctionnelle UMR 8576 (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Lab Computat & Theoret Chem, Universidad de La Habana [Cuba], Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Université de Lille-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Physical Chemistry B
Journal of Physical Chemistry B, 2018, 122 (34), pp.8157-8165. ⟨10.1021/acs.jpcb.8b04736⟩
Journal of Physical Chemistry B, American Chemical Society, 2018, 122 (34), pp.8157-8165. ⟨10.1021/acs.jpcb.8b04736⟩
ISSN: 1520-6106
1520-5207
DOI: 10.1021/acs.jpcb.8b04736⟩
Popis: In this study, we give a new physical insight into how enzymatic environments influence a redox process. This is particularly important in a biochemical context, in which oxidoreductase enzymes and low-molecular-weight cofactors create a microenvironment, fine-tuning their specific redox potential. We present a new theoretical model, quantitatively backed up by quantum chemically calculated data obtained for key biological sulfur-based model reactions involved in preserving the cellular redox homeostasis during oxidative stress. We show that environmental effects can be quantitatively predicted from the thermodynamic cycle linking ΔΔG(OX/RED)ref–ligand values to the differential interaction energy ΔΔGint of the reduced and oxidized species with the environment. Our obtained data can be linked to hydrogen-bond patterns found in protein active sites. The thermodynamic model is further understood in the framework of molecular orbital theory. The key insight of this work is that the intrinsic properties of ne...
Databáze: OpenAIRE