Aims and activities
We aim to establish an active-learning drug discovery pipeline that integrates high-throughput laboratory analyses with AI-based models to design, predict and optimize novel antibiotic candidates.
A pipeline for accelerated antibiotic discovery using AI-based drug design
Our ultimate aims:
• To identify novel antibiotics for the current AMR pandemic
• To enable rapid response to emerging bacterial pathogens
What our pipeline will deliver
Integrated activities to achieve our vision
High-content imaging-based identification of druggable bacterial targets and antimicrobial hits.
Virtual exploration of ~1023 – 1060 molecules in unexplored, underexploited chemical space.
DNA-encoded library (DEL) screening and hit-to-lead optimization, mode of action, and toxicity studies.
Platforms and infrastructure
Relevant publications