Our partner ML6 recently published an article about their work on the deCYPher project. As part of our AI expert team, they are bridging the gap between artificial intelligence and synthetic biology to engineer microbial cell factories that produce plant compounds efficiently. Their AI-driven approach replaces slow, expensive traditional discovery methods with a faster, more dependable workflow.
ML6 is building an AI-powered platform that accelerates the DBTL (Design-Build-Test-Learn) cycle, optimizing everything from protein engineering to metabolic pathways and industrial processes. This AI-powered platform acts as a scientific co-pilot, transforming R&D into a faster and more intelligent process.
The project demonstrates how machine learning can accelerate biological research, helping us move faster toward sustainable solutions for real-world problems.
Read the full story on their website.
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