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• W3215035162 abstract "Human cytochrome P450 3A4 is the most abundant hepatic and intestinal Phase I enzyme that metabolizes approximately 60% marketed drugs. Simultaneous administration of several drugs may result in appearance of drug-drug interaction. Due to the great interest in the combination therapy, the exploration of the role of drug as perpetrator or victim is important task in pharmacology. In this work the model systems based on electrochemically driven cytochrome P450 3A4 for the analysis of drug combinations was used. We have shown that the analysis of electrochemical parameters of cytochrome P450 3A4 and especially, potential of the start of catalysis, Eonset, possess predictive properties in the determination of the leading (perpetrator) properties of drug. Based on these experimental data, we concluded, that the more positive potential of the start of catalysis, Eonset, the more pronounced the role of drug as leading medication.Electrochemically driven cytochrome P450 3A4 was used as probe and measuring tool for the estimation of the role of interacting drugs.It is shown that the electrochemical non-invasive model systems for monitoring the catalytic activity of cytochrome P450 3A4 can be used as prognostic devise in assessment of drug/drug interacting medications.Cytochrome P450 3A4 activity was studied in electrochemically driven system. Method was implemented to monitor drug/drug interactions. Based on the obtained experimental data, we can conclude that electrochemical parameter such as potential of onset of catalysis, Eonset, has predictive efficiency in assessment of drug/drug interacting medications in the case of the co-administration." @default.
• W3215035162 created "2021-12-06" @default.
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• W3215035162 date "2021-12-06" @default.
• W3215035162 modified "2023-10-16" @default.
• W3215035162 title "Predicting drug–drug interactions by electrochemically driven cytochrome P450 3A4 reactions" @default.
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• W3215035162 doi "https://doi.org/10.1515/dmpt-2021-0116" @default.
• W3215035162 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34860476" @default.
• W3215035162 hasPublicationYear "2021" @default.
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