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DESCRIPTION:Deep learning methods are speeding up the process of designing 
 proteins with desirable biophysical properties. This fast moving field lev
 erages computational workflows that integrate deep learning models like RF
 diffusion\, ProteinMPNN\, Bindcraft with protein structural prediction met
 hods (Alphafold\, Chai-1\, Boltz-2) and traditional structural biology met
 hods to improve protein design success rates.\n\nThis webinar series featu
 res case studies from leaders in the field and is designed to inspire and 
 help you recognise potential applications of this new approach to the desi
 gn of protein-binding-proteins. Join us to hear how software such as Bindc
 raft is being applied to different research questions and gain hints and t
 ips on using them in your own work.\n\nThis series is brought to you by th
 e [Community for Structural Biology Computing in Australia](https://austra
 lian-structural-biology-computing.github.io/website/).\n\n| Date and time 
 | Speaker and affiliation | Topic |\n| :---- | :---- | :---- |\n| 15 July 
 2025\, 12pm AEST\,  | Dr Rhys Grinter\, University of Melbourne | Using AI
  protein design to design binding proteins to challenging bacterial transp
 orters |\n| 12 August 2025\, 12pm AEST\,  | Dr Cyntia Taveneau\, Monash Un
 iversity | AIcrs: AI-Designed Anti-CRISPRs as Programmable CRISPR Inhibito
 rs |\n| 16 September 2025\, 12pm AEST\,  | Dr Richard Birkinshaw\, WEHI | 
 Using *in silico* design methods to create *de novo* proteins that selecti
 vely modulate apoptosis |\n| 7 October 2025\, 12pm AEDT\, | Dr Josh Hardy\
 , WEHI | Introducing ProteinDJ: A modular and open-source framework for pr
 otein design workflows |\n| 11 November 2025\, 12pm AEDT\,  | Dr Gavin Kno
 tt\, Monash University Dr  Rhys Grinter\, University of Melbourne | TBC |\
 n\n**Who these webinars are for:**\n\nThese webinars are intended for stru
 ctural biologists but are suitable for anyone who is curious about *de nov
 o* protein design. \n\n**How to join:**\n\nThis series is designed with fl
 exibility in mind. You can join individual sessions or the entire series.\
 n\n**[Register here](https://protein-binding-proteins.eventbrite.com.au/) 
 **\n\n*This event is part of a series of [bioinformatics training events](
 https://www.biocommons.org.au/webinars-workshops). If you’d like to hear
  when registrations open for other events\, please [subscribe](https://www
 .biocommons.org.au/subscribe) to the Australian BioCommons newsletter.*
SUMMARY:WEBINAR SERIES: Leveraging deep learning to design custom protein-b
 inding proteins
URL;VALUE=URI:https://www.biocommons.org.au/events/protein-binder-series
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