24 April 2024

AI in Drug Discovery

Organised by:

SCI

Online webinar 16.00 – 17.00

Registration Closed

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Synopsis
With multiple AI-generated drug candidates, now in the clinic from Exscientia and others, it is clear that technologies are now achieving a genuine impact across the pharmaceutical R&D value chain. Areas of major technological advance include target discovery, structural modelling, lead generation and optimisation, toxicological profiling on the preclinical side, as well as disease diagnosis, clinical trials and patient stratification in the clinic. A major challenge now is the seamless embedding of a broad range of diverse, tailormade and/or off-the-shelf technologies in an efficient full-stack drug discovery process, where they need to integrate with and support long-established technology and processes. This presentation will address some of the real-world challenges, share practical insights and learning and look to future developments and trends we expect to define the successful utilisation of new AI, automation and data technologies.
Speaker

Prof John Overington Chief Data Officer Exscientia

Exscientia

John has over 30 years experience of drug discovery, encompassing large pharma, biotech and academia. After his Ph.D. in Protein Modelling and Structural Bioinformatics at Birkbeck College, University of London, and a postdoc at Imperial Cancer Research Fund (now CRUK), John joined Pfizer, this was followed by scientific leadership positions at Inpharmatica, EMBL-EBI, Benevolent AI, and just prior to joining Exscientia, at the Medicines Discovery Catapult. John has a track record of innovation and collaborative science and has developed several of the foundation data resources for AI-based drug discovery.

Programme
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