ADMET Predictor® 12 Webinar

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. 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, and David Miller, VP of ADMET Cheminformatics, walk you 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
1:58 Eric Jamois Introduces Speakers
2:34 David Miller kicks off his presentation
3:24 Agenda
4:08 ADMET Predictor Overview
6:16 ADMET Predictor Deployment
7:14 ADMET Predictor on Linux
9:11 pKa Model improvements in AP11
10:32 euroSAMPL pKa prediction challenge 2024
11:98 pKa Microstates Display
11:45 AIDD Methodology
13:30 AIDD Use Cases
15:50 New and Improved Models
18:44 DILIsym Inputs MOdule
20:11 HTPK Enhancements
22:20 AIDD Enhancements
25:12 REST API Enhancements
26:58 ADMET Modeler Enhancements
29:05 Medchem Designer Engancments
30:15 3D Virtual Screening Enhancements
31:26 pyADMETPreictor Module
32:30 Software Demo
53:55 Q&A
For more information visit: www.simulation...