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.
| Date & Time | Speaker(s) | Topic |
|---|---|---|
| 15 July 2025, 12pm AEST | Dr Rhys Grinter, University of Melbourne | Using AI protein design to design binding proteins to challenging bacterial transporters |
| 12 August 2025, 12pm AEST | Dr Cyntia Taveneau, Monash University | Icrs: AI-Designed Anti-CRISPRs as Programmable CRISPR Inhibitors |
| 16 September 2025, 12pm AEST | Dr Richard Birkinshaw, WEHI | Using in silico design methods to create de novo proteins that selectively modulate apoptosis |
| 7 October 2025, 12pm AEDT *Daylight savings time applies* |
Dr Josh Hardy, WEHI | Introducing ProteinDJ: A modular and open-source framework for protein design workflows |
| 11 November 2025, 12pm AEDT *Daylight savings time applies* |
TBC | TBC |
Who these webinars are for:
These webinars are were developed with structural biologists in mind but are suitable for anyone who is curious about de novo protein design.
How to join:
You can join individual sessions or the entire series.
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.
Cover image: Watson, J.L., Juergens, D., Bennett, N.R. et al. De novo design of protein structure and function with RFdiffusion. Nature 620, 1089–1100 (2023). https://doi.org/10.1038/s41586-023-06415-8