Related Experiment Videos
Theoretical insights in enzyme catalysis.
Sergio Martí1, Maite Roca, Juan Andrés
1Departament de Ciències Experimentals, Universitat Jaume I, Box 224, Castellón, Spain.
Chemical Society Reviews
|February 10, 2004
Summary
Computational chemistry explains enzyme catalysis by examining transition states (TS) and Michaelis complexes (MC). Enzymes lower activation free energy by stabilizing the transition state through preorganization.
Area of Science:
- Biochemistry
- Computational Chemistry
- Enzymology
Background:
- Enzymes significantly accelerate chemical reactions compared to solution-phase reactions.
- Understanding the physical basis of enzyme-catalyzed rate enhancement is a fundamental question in biochemistry.
Purpose of the Study:
- To review how computational chemistry methods elucidate enzyme catalysis.
- To explain the reduction in activation free energy for enzyme-catalyzed reactions.
- To compare Transition State (TS) theories and Michaelis Complex (MC) theories in enzyme catalysis.
Main Methods:
- Review of computational chemistry techniques.
- Analysis of enzymatic reactions using computational modeling.
- Comparison of theoretical viewpoints: TS stabilization vs. substrate preorganization.
Main Results:
- Computational chemistry provides insights into the physical basis of enzyme rate enhancement.
- Analysis of chorismate mutase and catechol O-methyltransferase reactions.
- Contrasting evidence supporting TS stabilization and substrate preorganization.
Conclusions:
- Enzyme active sites are preorganized to stabilize the transition state.
- Preorganization favors reactive conformations geometrically closer to the transition state.
- A unified view suggests preorganization and TS stabilization are interconnected aspects of enzyme catalysis.