A Mathematical Theory of Redox Biology
James N. Cobley, Michalis G. Nikolaidis

TL;DR
This paper introduces a comprehensive mathematical framework for redox biology, modeling it as a structured, dynamical, and spatially embedded system that explains complex behaviors without ad hoc assumptions.
Contribution
It develops a formal, geometric theory of redox systems, linking molecular transformations to biological functions through a structured state space and dynamics.
Findings
Redox behavior emerges from constrained biochemical organization.
The framework explains nonlinearity, hysteresis, and memory in redox systems.
It provides a predictive basis for interpreting redox measurements.
Abstract
Redox biology underpins signalling, metabolism, immunity, and adaptation, yet lacks a unifying theoretical framework capable of formalising structure, function, and dynamics. Current interpretations rely on descriptive catalogues of molecules and reactions, obscuring how redox behaviour emerges from constrained biochemical organisation. Here, we present a mathematical theory of redox biology that resolves this gap by treating redox systems as finite, compositional, dynamical, and spatially embedded objects. We define a structured redox state space in which admissible molecular transformations form a neutral algebra of possibilities. Biological function emerges when this structure is embedded within a wider molecular network and interpreted through weighted flux distributions. Time-dependent reweighting of these transformations generates redox dynamics, while spatial embedding enforces…
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Taxonomy
TopicsGene Regulatory Network Analysis · Microbial Metabolic Engineering and Bioproduction · Protein Structure and Dynamics
