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. In this webinar, you’ll 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, will be hosting, and David Miller, VP of ADMET Cheminformatics, will be walking through the new features of AP12.

Key topics to be covered:
– 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