We use computational chemistry and machine learning to explore protein sequences and identify candidates with the potential to selectively bind valuable metals.
Promising protein candidates are refined and developed to improve their binding properties and suitability for experimental testing.
Our work has been featured by leading industry publications and organisations, highlighting our progress in advancing sustainable critical metal recovery through biotechnology.
Discover how our research and innovation are being recognised across the biotechnology, sustainability and critical minerals industries.