ArticleBulletin of mathematical biology2026
How Does Genetic Information Enable Life?
Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Life requires genetic information to maintain a stable, highly ordered state far from thermodynamic equilibrium, but the general principles and specific mechanisms governing these dynamics are not well established. Here, the role of information in maintaining the unique thermodynamic state of living systems is examined in enzyme-accelerated reactions. Thermodynamically, reaction rates are governed by temperature and activation energy in the empirically derived Arrhenius equation. Living systems use genetically encoded enzymes to accelerate reactions up to 15 orders of magnitude without increased temperature. This is quantified in the Arrhenius equation as decreased activation energy but achieved physically by optimizing quantum interactions of substrate molecules to increase the probability of reaction. This scale transition from molecular mechanics in the information encoded amino acid sequence to quantum mechanics in substrate interactions represents "fine graining" which, as the opposite of coarse graining, requires added information. This is hypothesized to emerge from the cell's molecular machinery that controls folding kinetics to ensure (with high probability) the genetically encoded string of amino acids folds to a single enzymatically functional 3-dimensional configuration from all other thermodynamically possible states thus increasing Shannon information. Enzyme-accelerated reactions alter concentrations of substrate and products without increased temperature to generate a Boltzmann distribution that is highly improbable for, and therefore, not in equilibrium with the cell's thermodynamic state (temperature). Failure to maintain this non-equilibrium results in death, enabling evolutionary feedback. Furthermore, since protein function governs organism fitness, evolutionary selection is applied to both the gene that encodes the protein and cellular mechanisms that control its folding. By altering probabilistic quantum states during chemical reactions and producing statistical mechanics (Boltzmann distribution) inconsistent with the cellular thermodynamic state, the probability functions of Shannon information in the genome act at microscopic/macroscopic interfaces to enable the ordered, non-equilibrium state necessary for life.
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