scholarly journals Prediction of cytochromes P450 3A and 2C19 modulation by both inflammation and drug interactions using physiologically based pharmacokinetics

2021 ◽  
Author(s):  
Camille Lenoir ◽  
Amine Niederer ◽  
Victoria Rollason ◽  
Jules Alexandre Desmeules ◽  
Youssef Daali ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Cytochromes P450 ◽  
Physiologically Based Pharmacokinetics ◽  
Physiologically Based

Drug Interactions with Angiotensin Receptor Blockers: Role of Human Cytochromes P450

2016 ◽  
Vol 17 (7) ◽  
pp. 681-691 ◽  
Author(s):  
Ruirui Yang ◽  
Zhiqiang Luo ◽  
Yang Liu ◽  
Mohan Sun ◽  
Ling Zheng ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Cytochromes P450 ◽  
Angiotensin Receptor Blockers ◽  
Angiotensin Receptor ◽  
Receptor Blockers

scholarly journals In Silico Prediction of Drug–Drug Interactions Mediated by Cytochrome P450 Isoforms

Pharmaceutics ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 538
Author(s):  
Alexander V. Dmitriev ◽  
Anastassia V. Rudik ◽  
Dmitry A. Karasev ◽  
Pavel V. Pogodin ◽  
Alexey A. Lagunin ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Drug Interactions ◽  
Cytochromes P450 ◽  
Investigational Drug ◽  
Web Resource ◽  
Average Accuracy ◽  
Structural Formulas ◽  
Cytochrome P450 Isoforms ◽  
Leave One Out ◽  
Important Drug

Drug–drug interactions (DDIs) can cause drug toxicities, reduced pharmacological effects, and adverse drug reactions. Studies aiming to determine the possible DDIs for an investigational drug are part of the drug discovery and development process and include an assessment of the DDIs potential mediated by inhibition or induction of the most important drug-metabolizing cytochrome P450 isoforms. Our study was dedicated to creating a computer model for prediction of the DDIs mediated by the seven most important P450 cytochromes: CYP1A2, CYP2B6, CYP2C19, CYP2C8, CYP2C9, CYP2D6, and CYP3A4. For the creation of structure–activity relationship (SAR) models that predict metabolism-mediated DDIs for pairs of molecules, we applied the Prediction of Activity Spectra for Substances (PASS) software and Pairs of Substances Multilevel Neighborhoods of Atoms (PoSMNA) descriptors calculated based on structural formulas. About 2500 records on DDIs mediated by these cytochromes were used as a training set. Prediction can be carried out both for known drugs and for new, not-yet-synthesized substances. The average accuracy of the prediction of DDIs mediated by various isoforms of cytochrome P450 estimated by leave-one-out cross-validation (LOO CV) procedures was about 0.92. The SAR models created are publicly available as a web resource and provide predictions of DDIs mediated by the most important cytochromes P450.

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