Invited Presentation: Building the future of AI-driven structure-based drug discovery
Track: Distinguished Keynotes
Room: 01A
Authors List: Show
Presentation Overview:Show
The development of new therapeutics typically takes many years and requires over $1bn in investment. Computational methods and in particular, machine learning, have shown great promise for increasing the speed and reducing the cost of therapeutic development. In this talk I will describe some of the novel computational tools and databases we are pioneering from accurate rapid structure prediction to the prediction of their affinity and binding, looking at both their promise and limitations.