Stay ahead of the competition with ADMET Predictor® 12!
Learn how you can get started and immediately benefit from the new functionality and improved capabilities in ADMET Predictor 12. Get a sneak peek of the latest version of the flagship machine learning platform for ADMET modeling and its extended capabilities for data analysis, metabolism prediction, HT-PBPK analysis and AI-driven drug design. Eric Jamois, Sr. Director of Business Development, and David Miller, VP of ADMET Cheminformatics, walk you through the new features of AP12.
Key topics:
- New and improved models for predicting biorelevant solubility, clearance, permeability, CYP induction and more
- Solution dosing and access to tissue Kp values in the HTPK Simulation Module
- New DILI toxicity models to inform HT-DILI simulations
- Improvements to the AI-driven Drug Design Module
- Boosted ANN regression models in ADMET Modeler™
- General usability and informatics improvements Speaker: David Miller, Vice President, Cheminformatics Moderator: Eric Jamois, Senior Director, Business Development