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Put simply, most drugs work by binding to a protein and altering how they function. But how can we model how well a particular molecule will bind to a particular protein, and use that knowledge to help discover new treatments? In this episode, we talk to Prof Fergus Imrie from Oxford's Department of Statistics, who is one of the lead researchers on the OpenBind consortium. This project aims to create the world's largest open-access dataset of protein-ligand interactions, providing invaluable quantities of data for AI-driven drug discovery
By Oxford Sparks4.5
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Put simply, most drugs work by binding to a protein and altering how they function. But how can we model how well a particular molecule will bind to a particular protein, and use that knowledge to help discover new treatments? In this episode, we talk to Prof Fergus Imrie from Oxford's Department of Statistics, who is one of the lead researchers on the OpenBind consortium. This project aims to create the world's largest open-access dataset of protein-ligand interactions, providing invaluable quantities of data for AI-driven drug discovery

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