Accelerating Small Molecule GLP-1 Agonist Optimization: AI-Driven Design Meets Mechanistic Modeling for a First-to-Invent Advantage

Authors: Jones J, Siler SQ
Software: ADMET Predictor®
Division: Cheminformatics

Abstract

In a fast-paced industry with big budget competition, you need every tool and approach to succeed. In this webinar series, our experts walk you through the development stages of an obesity drug, showcasing how AI-powered tools and modeling & simulation software can shorten the development timeline while increasing confidence in a compound’s efficacy and safety. They demonstrate how to address common challenges with obesity (and other) drugs, such as identifying optimal dosing paradigms and minimizing gastrointestinal adverse events.

Over four 1-hour webinars, you’ll learn how AI-powered tools and modeling & simulation software can help you…

– Accelerate the design & optimization of your drug candidates while prioritizing them based on potential hazards like DILI risk Determine the right dosing paradigms in as few iterations as possible

– Set up a clinical development plan to increase likelihood of acquisition and/or out-licensing

– Optimize your clinical trial protocol and training

– And more

At the end of each session, our experts hosted a live Q&A.

By Scott Siler & Jeremy Jones