Reducing Risk in Synthetic Planning with Retrosynthesis Software

DATE

October 25, 2022

TIME

8:00 a.m. PDT, 11:00 a.m. EDT, 16:00 BST, 17:00 CEST

Duration: 60 Minutes

Overview

Developing drug molecules is a slow, iterative process that involves sorting through thousands of pathways to find the most viable drug candidates. AI is poised to transform chemical synthesis, by providing opportunities to mitigate the risk and shorten the small molecule drug discovery process.

In this webinar, learn how computer-aided retrosynthetic planning has evolved and is being used by chemists, based on actual use cases with SYNTHIAâ„¢ Retrosynthesis Software and a live demonstration.

Key Learning Objectives:

Improve efficiency and boost success rate in drug development by harnessing hand-coded reaction rules and advanced algorithms
Explore the features of the software to meet project demands and reduce risk in synthesis
Discover and design novel, cost-effective pathways for target molecules from commercially available building blocks or proprietary inventory

Who Should Attend:

Lab Managers
Group/Team Leaders
Director/VP-Level Executives
IT/Computational Chemists
IP Lawyers
Academic Researchers
Research Scientist / Chemist

Brought to you by:

Speakers

Emma Gardener, Ph. D.
Technical Application Scientist
MilliporeSigma

Timothy Cernak, Ph. D.
Assistant Professor
University of Michigan

Jeff Huber
Contributing Editor,
C&EN Media Group

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