"MicroCycle: A Machine Learning Driven, Automated and Integrated Platform for Drug Discovery"
What if we could develop an integrated drug discovery platform to accelerate drug discovery, which utilises micro-scale chemistry, real-time biological and physicochemical characterisation and machine learning driven compound design? At NIBR this is a reality! Our automated medicinal chemistry ‘design-make-test-analyse’ cycle is powered by machine learning, enables sequential multi-parameter optimisation and generates knowledge in a timeframe never before possible. We have built MicroCycle; a modular technology platform which benefits from recent advances in plate based micro-scale chemistry, micropurification,[1]in-situ quantification and machine learning thus ensuring rapid access to high quality chemical matter already formatted for assay. Furthermore, by reorienting existing high throughput assay technology we can generate a full package of relevant data on each set of compounds in every learning cycle.