The project combined stochastic thermodynamics and information theory to analyze proofreading mechanisms in biochemical replication. Key achievements include:
i) Quantification of Universal Thermodynamic Trade-offs
Using entropy production and fluctuation theorems, the STBR project established precise mathematical bounds on the relationship between replication speed, accuracy, and energy consumption, for general discriminatory networks, regardless of the underlying network topology or irreversible kinetics. These results extend and generalize previous work on kinetic proofreading, providing a more comprehensive understanding of the cost of biological accuracy.
ii) Development of Thermodynamic Models for Proofreading
STBR analyzed a lesser-known proofreading model, i.e. the energy-relay proofreading model, in which energy released during catalytic steps is stored and later used to drive error correction. This model challenges traditional views that separate proofreading from energy input, showing how energy flow within a system can enhance replication fidelity.The main achievement was the discovery of multiple modes of operation is the model, based on the stochastic dissipation-error Pareto trade-off, where such systems can operate in three distinct regimes. It is even able to outperform classical kinetic proofreading in certain parameter regimes.
iii) Application of Stochastic Thermodynamics to Enzyme Localization
STBR analyzed the Pareto-optimal trade-offs between dissipation, information and chemical particle flux in a simple toy model of molecular reaction-diffusion. This model is seminal to understanding localization and robustness dynamics of enzymes with a discriminatory function. It was found that the spatial localization of enzyme turnover is tightly related to the information-dissipation bound, where a system needs a particular threshold of information to be able to localize specific chemical reactions, fundamental to the discriminatory ability of KPR and related dynamics.
