ArticleBritish journal of pharmacology2017
Distinct in vivo target occupancy by bivalent- and induced-fit-like binding drugs.
Article in British journal of pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Evidence for Two Modes of Binding of the Negative Allosteric Modulator SB269,652 to the Dopamine DBiomedicines · 2021Article
- Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants.Pharmacology research & perspectives · 2021Article
- Slow-, Tight-Binding Inhibition of CYP17A1 by Abiraterone Redefines Its Kinetic Selectivity and Dosing Regimen.The Journal of pharmacology and experimental therapeutics · 2020Article
- Utilizing the Combination of Binding Kinetics and Micro-Pharmacokinetics Link in Vitro α-Glucosidase Inhibition to in Vivo Target Occupancy.Biomolecules · 2019Article
- Link between a highMedChemComm · 2018Review
- Distinct in vivo target occupancy by bivalent- and induced-fit-like binding drugs.British journal of pharmacology · 2017Article
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1 author.
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Abstract
background and purposeOptimal drug therapy often requires long-lasting target occupancy While this attribute was usually linked to the drug's pharmacokinetic properties, the dissociation rate is now increasingly recognized to contribute as well. Nearly all the earlier pharmacokinetic-pharmacodynamic (PK-PD) simulations encompassed single-step binding drugs and focused on k EXPERIMENTAL APPROACH: We compared the 24 h in vivo occupancy over time profiles of prototype bivalent- and induced-fit-like binding drugs (A and B) after one or repeated daily dosings, both without and with rebinding. Special attention was focused on the effect of each of the microscopic rate constants on the occupancy profiles and on the metrics to represent those profiles. KEY
resultsAlthough both models can be represented by the same mathematical formulation, drugs A and B display quite different occupancy profiles, even though they have the same potency. These differences can be attributed to the different effects of their microscopic rate constants on their composite k CONCLUSIONS AND IMPLICATIONS: Closer attention should be paid to more complex binding models in PK-PD simulations. This may help pharmacologists and medicinal chemists to improve the translation of in vitro kinetic measurements from preclinical screening programmes into clinical efficiency.
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