Event: How to choose the most promising drug candidates


DDW is hosting an exclusive free event, Connected chemistry: How to choose the most promising drug candidates from your hit list. It will be supported by Torx Software.

It will take place on March 8, 2023 3PM GMT. Register here for free.

AI and machine learning (AI/ML) methods offer an alluring way to expedite the drug discovery process by delivering a large number of possible new candidates for any given therapeutic area. However, insight from medicinal chemists is still necessary to triage and prioritise the most promising molecules for synthesis, and progress these through the Design-Make-Test-Analyse (DMTA) cycle. A smooth interface between data and humans drives down DMTA cycle times and shortens the path to clinical candidates. 

Mari Goldsmith, Application Scientist at Torx Software and John Kratunis, Manager, Customer Success Specialists, NA at CAS will demonstrate the power of combining Torx with CAS SciFindern to ensure the correct decisions are made quickly to deliver new drugs faster. 

This free event is ideal for research scientists and managers working in small molecule drug discovery.

Register for free here.

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