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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
Published on: January 16, 2016
Maximum Entropy Production Theorem for Transitions between Enzyme Functional States and Its Applications
Davor Juretić1, Juraj Simunić2, Željana Bonačić Lošić3
1Mediterranean Institute for Life Sciences, Šetalište Ivana Meštrovića 45, 21000 Split, Croatia.
Enzyme functional states involve atomic movements driven by non-equilibrium conditions. Maximal transitional entropy production (MTEP) can enhance enzyme efficiency and thermodynamic evolution, a concept termed the evolution-coupling hypothesis.
Area of Science:
- Biochemistry
- Thermodynamics
- Enzyme kinetics
Background:
- Enzyme functional state transitions involve conformational changes, atomic movements, and transport processes.
- These fluxes are driven by non-equilibrium substrate and product concentrations, leading to entropy production.
- Maximal transitional entropy production (MTEP) is a theoretical concept, but its direct link to increased total entropy production and enzyme performance is not always guaranteed.
Purpose of the Study:
- To investigate the conditions under which total entropy production increases alongside enhanced enzyme or bioenergetic system performance.
- To explore the applicability of the MTEP theorem in understanding enzyme functional state transitions.
- To identify rate-limiting steps in catalytic cycles and optimize them for efficiency.
Main Methods:
- Application of the MTEP theorem to specific enzymes: triosephosphate isomerase, ATP synthase, and β-lactamases.
- Analysis of the photochemical cycle of bacteriorhodopsin.
- Identification of rate-limiting steps based on free-energy dissipation and catalytic efficiency.
Main Results:
- MTEP requirements do not automatically ensure increased total entropy production or catalytic performance.
- Rate-limiting steps are identified as those most efficient in dissipating free-energy gradients and performing catalysis.
- The final step in catalytic cycles often involves significant free-energy dissipation, particularly through proton currents, and can be optimized using MTEP.
Conclusions:
- Biological evolution towards optimal catalytic efficiency is coupled with accelerated thermodynamic evolution.
- The 'evolution-coupling hypothesis' describes this synergistic relationship between catalytic and thermodynamic advancements.
- Optimizing rate-limiting steps, especially the final recovery step involving proton currents, can enhance enzyme efficiency through MTEP principles.
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