David Shorthouse

Company: University College London, School of Pharmacy

Job title: Lecturer

Seminars:

Panel Discussion: Can Computational Approaches Deliver on the Promise of More Efficient & Accurate Degrader Discovery & Development? 11:45 am

What is limiting AI/ML from accelerating TPD development? “Lots of data is needed” – how much? And how do we get there? Can we make the data available more amenable? What can computational methods currently deliver? What will happen to traditional approaches like docking?Read more

day: Day 2 Track A AM

TPD of the Future: Introducing Highly Sophisticated AI/ML Tools & Computational Techniques to Accelerate your Degrader Discovery & Development Programmes 2:30 pm

With the arrival of AI and Machine Learning (ML), a new age for TPD discovery and development is emerging. AI is enabling developers to make predictions on structures, conformational changes, and in turn, make educated decisions on what compounds to advance. We’ll explore how academia are using computational methods to expedite research, how ML is…Read more

day: Pre-Conference Workshop Day