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Structural determinants of cytochrome P450 substrate specificity, binding affinity and catalytic rate
D F Lewis1, P J Eddershaw, M Dickins
1School of Biological Sciences, University of Surrey, Guildford, UK. d.lewis@surrey.ac.uk
Chemico-Biological Interactions
|December 16, 1998
Summary
Structural features of cytochrome P450 substrates can predict enzyme specificity. This study estimates binding energies and metabolism rates, showing prediction of P450 interactions is feasible with sufficient structural data.
Area of Science:
- Biochemistry and Molecular Biology
- Drug Metabolism and Pharmacokinetics
Background:
- Cytochrome P450 enzymes are crucial for drug metabolism.
- Understanding P450 substrate specificity is vital for drug development and safety.
- Predicting interactions requires detailed knowledge of enzyme-substrate structural characteristics.
Purpose of the Study:
- To summarize structural features of cytochrome P450 substrates.
- To describe methods for estimating P450 substrate binding energies and metabolism rates.
- To demonstrate the feasibility of predicting P450 binding affinities and catalytic rates.
Main Methods:
- Analysis of molecular descriptors for P450 substrate discrimination.
- Estimation of binding interaction energies and metabolism rates for P450-substrate complexes.
- Application of methods to individual compounds and series of related chemicals, including those with known crystal structures.
Main Results:
- Molecular descriptors effectively differentiate chemicals based on P450 isozyme specificity.
- Binding energy is primarily influenced by hydrophobic/desolvation and electrostatic/hydrogen-bonded forces.
- Electronic factors significantly impact variations in metabolic reaction rates.
- The study provides specific examples of P450-ligand interactions.
Conclusions:
- Structural characteristics of P450 substrates can predict enzyme specificity.
- Binding energy and reaction rate components can be estimated using structural information.
- Accurate prediction of P450 substrate binding affinities and catalytic rates is achievable with adequate structural data for enzyme-substrate complexes.