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Comparative modelling of cytochromes P450
Stewart B Kirton1, Carol A Baxter, Michael J Sutcliffe
1Department of Chemistry, University of Leicester, University Road, LE1 7RH, UK.
Advanced Drug Delivery Reviews
|March 30, 2002
Summary
This study uses comparative modeling to predict human cytochrome P450 (P450) structures, offering insights into enzyme function when experimental data is unavailable. The developed models show high accuracy, aiding research on P450s and related diseases.
Area of Science:
- Biochemistry and Structural Biology
- Computational Biology and Bioinformatics
Background:
- Cytochromes P450 (P450s) are crucial enzymes involved in metabolism, reproduction, and disease pathogenesis.
- Understanding P450 protein structures provides key insights into their diverse biological functions.
- Limited availability of human P450 3D structures necessitates alternative methods for structural analysis.
Purpose of the Study:
- To develop accurate three-dimensional (3D) structural models of human P450 enzymes using comparative modeling.
- To demonstrate the utility of comparative modeling for gaining structural insights into human P450s in the absence of experimental data.
- To establish a robust methodology for predicting human P450 structures based on existing non-human P450 templates.
Main Methods:
- Comparative modeling utilizing amino acid sequences of human P450s and known 3D structures of non-human P450s as templates.
- Iterative cycles of sequence alignment, model building, and model evaluation to enhance prediction accuracy.
- Illustrative modeling of P450 2C5 using five bacterial P450 structures as templates to assess methodology.
Main Results:
- Successful prediction of human P450 structures with excellent stereochemistry and good side chain environment properties.
- Generated models exhibit Calpha traces comparable to experimentally determined crystal structures.
- Demonstrated the importance of template selection, sequence alignment accuracy, and rigorous model evaluation.
Conclusions:
- Comparative modeling is a viable and effective approach for predicting human P450 structures.
- The developed models provide valuable structural information for understanding human P450 function and associated diseases.
- This methodology facilitates structural studies of human P450s, bridging the gap left by limited experimental structural data.