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Ehrlich occupancy time: beyond [Formula: see text] to a complete residence time framework
Justin Eilertsen1, Santiago Schnell2,3, Sebastian Walcher4
1Mathematical Reviews American Mathematical Society, 416 4th Street, Ann Arbor, MI, 48103, USA.
Ehrlich occupancy time (EOT) offers a rigorous framework for drug-target interactions, incorporating association, dissociation, and elimination kinetics for improved therapeutic efficacy prediction.
Area of Science:
- Pharmacology
- Biophysics
- Computational Chemistry
Background:
- Drug-target occupancy time is crucial for therapeutic efficacy.
- Existing models like Copeland's residence time neglect key factors such as association rates and drug elimination.
- Paul Ehrlich's principle 'Corpora non agunt nisi fixata' highlights the importance of drugs being bound to targets.
Purpose of the Study:
- To develop a mathematically rigorous framework for Ehrlich occupancy time (EOT).
- To explicitly incorporate association and dissociation kinetics, rebinding, and drug removal into occupancy time calculations.
- To provide quantitative tools for optimizing drug design and predicting in vivo efficacy.
Main Methods:
- Defined EOT as the integral of fractional target occupancy over time.
- Incorporated association (kon) and dissociation (koff) rates, and drug elimination rate (kel).
- Derived mathematical expressions for EOT under various conditions, including equilibrium, ligand excess, induced-fit mechanisms, and first-order drug elimination.
Main Results:
- EOT framework accounts for association, dissociation, rebinding, and drug elimination.
- Under ligand-excess conditions, EOT relates to the dissociation constant (Kd) and drug concentration ([D]).
- For systems with drug elimination, EOT bounds reveal that both binding affinity and elimination rate jointly determine occupancy.
- Copeland's residence time is shown to be a special case of EOT when rebinding is absent.
Conclusions:
- EOT provides a more comprehensive measure of drug-target interaction duration than traditional residence time.
- The framework explains clinical failures of high-affinity drugs due to rapid elimination.
- EOT offers quantitative insights for pharmacokinetic optimization and improved prediction of in vivo drug efficacy.
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