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Transmission coefficient calculation for proton transfer in triosephosphate isomerase based on the reaction path
Mingliang Wang1, Zhenyu Lu, Weitao Yang
1Department of Chemistry, Duke University, Durham, North Carolina 27708, USA.
The Journal of Chemical Physics
|July 21, 2004
Summary
Enzyme catalysis dynamics were simulated using a new potential energy surface. Results show protein environment fluctuations near the active site significantly impact reaction rates, deviating from traditional theories.
Area of Science:
- Computational Chemistry
- Enzyme Catalysis
- Biophysics
Background:
- Enzymatic reactions are crucial biological processes.
- Understanding enzyme reaction dynamics requires accurate potential energy surfaces.
- Traditional transition state theory may not fully capture enzymatic reaction complexities.
Purpose of the Study:
- To construct and implement a global potential energy surface for enzyme-catalyzed reactions.
- To investigate the dynamical effects on the rate constants of enzymatic proton transfer.
- To assess the influence of protein environment fluctuations on reaction dynamics.
Main Methods:
- Developed a reaction path potential using combined ab initio quantum mechanics and molecular mechanics (QM/MM).
- Constructed a global potential energy surface via interpolation.
- Performed activated molecular dynamics simulations and calculated the transmission coefficient kappa(t) using the reactive flux approach.
Main Results:
- The calculated transmission coefficient kappa(t) was 0.47, indicating significant deviations from transition state theory predictions.
- Protein environment fluctuations had minimal impact on barrier recrossing.
- The transmission coefficient kappa(t) was highly sensitive to fluctuations of atoms in the enzyme's active site.
Conclusions:
- The developed potential energy surface enables accurate simulation of enzyme reaction dynamics.
- Dynamical effects, particularly active site atom fluctuations, are critical for understanding enzymatic reaction rates.
- This study highlights the limitations of transition state theory for complex enzymatic systems.