Date: 15 July - 11 November 2025

Timezone: Melbourne

Duration: Multiple 1 hour sessions

Language of instruction: English

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 and time Speaker and affiliation 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 AIcrs: 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, Dr Josh Hardy, WEHI Introducing ProteinDJ: A modular and open-source framework for protein design workflows
11 November 2025, 12pm AEDT, Dr Gavin Knott, Monash University Dr Rhys Grinter, University of Melbourne TBC

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.

Contact: training@biocommons.org.au

Keywords: Protein biology, Deep learning, Drug design

City: Online

Country: Australia

Prerequisites:

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

Organizer: Australian BioCommons

Host institutions: Australian BioCommons

Eligibility:

  • First come first served

Capacity: 495

Event types:

  • Workshops and courses

Cost basis: Free to all

Scientific topics: Proteins


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