Fig. 3 | Scientific Reports

Fig. 3

From: Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics

Fig. 3

The effect of different doses (A, B) and dosing schemes (C, D) on drug-target properties for optimal target engagement. (A, B): The tree-based ML model was trained and validated for synthetic data based on different doses of 0.1, 1, and 10 mg/kg administered once every 2 week (Q2W). (C, D): The tree-based ML model was trained / validated for synthetic data based on a fixed dose of 1 mg/kg administered once every week (Q1W), once every two weeks (Q2W), and once every 4 weeks (Q4W). Only optimal properties dependent on target occupancy > 90% at minimum plasma concentration at steady state are shown.

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