Deep learning methods are speeding up the process of designing proteins with desirable biophysical properties. This fast moving field leverages computational workflows that integrate deep learning models like RFdiffusion, ProteinMPNN, Bindcraft with protein structural prediction methods (Alphafold, Chai-1, Boltz-2) and traditional structural biology methods to improve protein design success rates.

This webinar series features case studies from leaders in the field and is designed to inspire and help you recognise potential applications of this new approach to the design of protein-binding-proteins. Join us to hear how software such as Bindcraft is being applied to different research questions and gain hints and tips on using them in your own work.

This series is brought to you by the Community for Structural Biology Computing in Australia.

Who these webinars are for:

These webinars are intended for structural biologists but are suitable for anyone who is curious about de novo protein design.

How to join:

This series is designed with flexibility in mind. You can join individual sessions or the entire series.

*Register here *

This event is part of a series of bioinformatics training events. If you’d like to hear when registrations open for other events, please subscribe to the Australian BioCommons newsletter.