One example is Enko Chem, an AI-driven agricultural biotech company focused on developing next-generation crop protection solutions to combat pest resistance.
The company uses DNA-encoded libraries and AI/ML models to screen billions of molecules, identifying novel pesticide candidates with new modes of action. This approach reduces discovery timelines dramatically – e.g., identifying a new weed-control target and inhibitors in four months.
Speaking with AgTechNavigator at the event, Enko’s chief science officer Tom Meade explained how the company hopes to utilise the power of AI to both speed up molecule discovery and produce effective crop protection products.
Watch the interview below.
