Find out how deep learning is allowing us to design optimized protein sequences to perform beyond those found in nature.

This achievement offers the promise of developing medicines, materials, and catalysts that deliver new levels of performance to solve some of humanity's biggest challenges.

Proteins are nature’s catalytic and functional materials. Their application in medicines, and as industrial catalysts and novel materials, often requires functional properties beyond those designed by nature.

There has been much research in this area recently, and some amazing breakthroughs by DeepMind's AlphaFold2 in predicting protein structure. However, protein structure is not the end goal of this research, but rather the ability to predict and also to optimize how well a protein will perform at a given task.

During this webinar, we present our work to combine deep learning, public data sources, and unique bio-engineering laboratory work to develop high-performance proteins.


  • Tim Ensor, Director of AI, Cambridge Consultants
  • Ian Taylor, Principal Biologist, Cambridge Consultants
  • Russell Maguire, AI Engineer, Cambridge Consultants

Watch the webinar

Tim Ensor
Commercial Director

Tim works with clients across many sectors to help them achieve business impact with world-changing technology innovation. Tim has had a string of commercial leadership roles focused on innovation in fields including telecoms, logistics and energy and working with world-leading AI, robotics and connectivity technology. He's an electronic engineer, Cambridge MBA and optimistic about using technology to make the world better.

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