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Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery
Diana H Marcantonio1, Andrew Matteson1, Marc Presler1
1Applied BioMath, LLC, Concord, MA, United States.
Early Feasibility Assessment (EFA) uses early drug discovery data to predict effective doses. This model-informed approach accurately forecasts clinical doses for biotherapeutics, aiding novel therapeutic development.
Area of Science:
- Pharmacology
- Drug Development
- Biotherapeutics
Background:
- Model-informed drug discovery and development (MID3) is valuable but challenging in early stages due to limited pharmacokinetic (PK) and pharmacodynamic (PD) data.
- Prioritizing targets and defining optimal drug properties requires robust early-stage predictive models.
Purpose of the Study:
- To introduce and validate Early Feasibility Assessment (EFA) as a method for predicting effective doses in early drug discovery.
- To demonstrate the utility of EFA in making accurate dose predictions for biotherapeutics.
Main Methods:
- Development of mechanistic PKPD models based on first principles.
- Parameterization of models using data readily available in early drug discovery.
- Validation of EFA predictions against clinical effective doses of nine approved biotherapeutics.
Main Results:
- EFA accurately predicted clinical effective doses for nine approved biotherapeutics.
- The approach shows potential for application to novel therapeutics.
Conclusions:
- Early Feasibility Assessment (EFA) is a viable method for predicting effective doses early in the drug discovery process.
- EFA can significantly impact early decision-making for novel therapeutic development by providing reliable dose predictions.
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