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Have you ever wondered what goes into designing potential medicines or materials? Join us as we look into the processes involved in creating new medicines and how artificial intelligence is aiding us in the search for new materials!
Discovering new medicines – it’s not rocket science
How can eating a tiny tablet get rid of your headache – or stop a complex disease like cancer? Well, finding new medicines is not rocket science. In some ways it’s much harder! More than nine out of ten experimental medicines fail to become approved drugs. So how are drugs designed… and why do they usually fail? By following a recent drug discovery project from first idea to possible medicine, we will explore these questions, and highlight a new approach which could enable the complete removal of cancer-causing proteins from tumours.

Using Artificial Intelligence to Discover New Materials
Anabel Basford
(PhD student at Imperial College London)
@annabelbasford
Steven Bennett (PhD student at Imperial College)
@stevenkbennett
@annabelbasford
Steven Bennett (PhD student at Imperial College)
@stevenkbennett
Porous materials play a key role in modern society, from separating mixtures of molecules, carbon capture to fight climate change, or targeted drug delivery. There are almost infinite combinations of chemicals that can form a new material, which can take years to create and still end up not useful. AI has the power to accelerate discovery of these new materials, using computers to predict their properties before creating them in the lab. We will talk about how AI can help predict alternatives to conventional materials, including how it led to the discovery of a new one: porous organic cages.

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