Preclinical PKPD modeling

Preclinical PKPD modeling performs model-based analysis of pharmacokinetic and pharmacodynamic (PK-PD) data to support preclinical drug discovery and translational dose prediction.

Key Features:

• Automation: Automates the PK-PD modeling workflow and routine analyses to reduce manual intervention.
• Error Reduction: Lowers errors associated with manual data handling through automated processes.
• Modeler Oversight: Preserves expert decision points by allowing modelers to intervene at key junctures of the analysis.

Scientific Applications:

• Preclinical Drug Discovery: Supports analysis of animal PK-PD data to inform compound selection and optimization.
• Compound Optimization: Enables case study-driven optimization of compounds during early drug discovery stages.
• Human Dose Prediction: Integrates automated PK-PD analysis with optimization steps to aid prediction of human doses from animal data.

Methodology:

Leverages concrete examples from animal PK-PD data to illustrate and validate automated analysis processes.