Unlock the Power of Artificial Intelligence in Novel Drug Discovery

DATE

January 12, 2023

TIME

8:00 a.m. PST / 11:00 a.m. EST / 16:00 GMT / 17:00 CET - Duration: 60 Minutes

Overview

Discovering new “drug-like” and synthetically viable compounds via artificial intelligence (AI) is of great interest to medicinal chemists.

One of the key challenges in using AI for drug discovery is the lack of robust machine learning (ML) models trained on experimentally proven data.

In this webinar, learn how experimentally validated AI/ML methods and computational tools of the AIDDISON™ integrated platform can solve the challenges in drug design for medicinal chemists.

Key Learning Objectives:

Unlock ingenuity for new molecule design tailored to your needs with AI methods and computational tools
Explore how AIDDISON can accelerate the process of hit identification and lead optimization
Discover AIDDISON’s generative methods for designing novel “drug-like” and synthetically viable compounds
Exploit machine learning toxicology models to guide pharmacokinetic profile search in ultra-large chemical spaces

Who Should Attend:

Medicinal Chemists
IT/Computational Chemists
Discovery Scientists
R&D Scientists
Group/Team Leaders
Director/VP-Level Executives
Data Scientists
Chief Scientific Officers

Brought to you by:

Speakers

Ashwini Ghogare
Head of AI and Automation for Drug Discovery,
Global Science and Technology Group at Merck KGaA

Melissa O'Meara
Forensic Science Consultant,
C&EN Media Group

Registration

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