ArticleJournal of computer-aided molecular design2010
Using a homology model of cytochrome P450 2D6 to predict substrate site of metabolism.
Article in Journal of computer-aided molecular design, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 38 citations in OpenAlex.
- Article
- RD-Metabolizer: an integrated and reaction types extensive approach to predict metabolic sites and metabolites of drug-like molecules.Chemistry Central journal · 2017Article
- Drug Metabolism in Preclinical Drug Development: A Survey of the Discovery Process, Toxicology, and Computational Tools.Current drug metabolism · 2017Review
- Molecular evolution of the CYP2D subfamily in primates: purifying selection on substrate recognition sites without the frequent or long-tract gene conversion.Genome biology and evolution · 2015Article
- Modelling three-dimensional protein structures for applications in drug design.Drug discovery today · 2014Review
- Protein modeling: what happened to the "protein structure gap"?Structure (London, England : 1993) · 2013Review
- Rationalization of stereospecific binding of propranolol to cytochrome P450 2D6 by free energy calculations.European biophysics journal : EBJ · 2012Article
- RS-Predictor models augmented with SMARTCyp reactivities: robust metabolic regioselectivity predictions for nine CYP isozymes.Journal of chemical information and modeling · 2012Article
- Computational prediction of metabolism: sites, products, SAR, P450 enzyme dynamics, and mechanisms.Journal of chemical information and modeling · 2012Review
- IDSite: An accurate approach to predict P450-mediated drug metabolism.Journal of chemical theory and computation · 2011Article
- Comparison of the inhibitory profiles of itraconazole and cimetidine in cytochrome P450 3A4 genetic variants.Drug metabolism and disposition: the biological fate of chemicals · 2011Article
- Structural features of cytochromes P450 and ligands that affect drug metabolism as revealed by X-ray crystallography and NMR.Future medicinal chemistry · 2010Review
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CYP2D6 is an important enzyme that is involved in first pass metabolism and is responsible for metabolizing ~25% of currently marketed drugs. A homology model of CYP2D6 was built using X-ray structures of ligand-bound CYP2C5 complexes as templates. This homology model was used in docking studies to rationalize and predict the site of metabolism of known CYP2D6 substrates. While the homology model was generally found to be in good agreement with the recently solved apo (ligand-free) X-ray structure of CYP2D6, significant differences between the structures were observed in the B' and F-G helical region. These structural differences are similar to those observed between ligand-free and ligand-bound structures of other CYPs and suggest that these conformational changes result from induced-fit adaptations upon ligand binding. By docking to the homology model using Glide, it was possible to identify the correct site of metabolism for a set of 16 CYP2D6 substrates 85% of the time when the 5 top scoring poses were examined. On the other hand, docking to the apo CYP2D6 X-ray structure led to a loss in accuracy in predicting the sites of metabolism for many of the CYP2D6 substrates considered in this study. These results demonstrate the importance of describing substrate-induced conformational changes that occur upon binding. The best results were obtained using Glide SP with van der Waals scaling set to 0.8 for both the receptor and ligand atoms. A discussion of putative binding modes that explain the distribution of metabolic sites for substrates, as well as a relationship between the number of metabolic sites and substrate size, are also presented. In addition, analysis of these binding modes enabled us to rationalize the typical hydroxylation and O-demethylation reactions catalyzed by CYP2D6 as well as the less common N-dealkylation.
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