See how QSAR, docking, ADMET, and multiomics accelerate earlier, more confident safety decisions.
Predictive toxicology is reshaping how teams evaluate risk, prioritize compounds, and streamline development. In this on demand workshop, Inotiv experts Sherif Farag, PhD, and Brandon Phan, MS, demonstrate how modern computational informatics, QSAR, molecular docking, ADMET, and multiomics approaches shift toxicology from descriptive to mechanistic to predictive.
You’ll learn how integrated in silico and in vitro workflows help you:
-
Identify hazards and quantify risk before in vivo testing
-
Apply QSAR, read across, and docking to accelerate early decision making
-
Use ADMET and IVIVE to inform PK, safety, and dose prediction
-
Leverage multiomics, bioinformatics, and AOP/qAOP for mechanistic clarity
-
Strengthen regulatory submissions with tools aligned to ICH M7, impurity assessment, and NAMs integration
-
Combine NAMs + in vivo data to build a more confident, hybrid safety strategy
Complete the form to access the on-demand workshop.
