CCP4 Study Weekend 2025:

The CCP4 Study Weekend is an annual meeting organised by the Collaborative Computational Project Number 4 (CCP4), a UK-based initiative that supports macromolecular crystallography. The event focuses on providing updates on current methods and software developments in the field of structural biology, and brings together a broad spectrum of participants, including methods developers, senior researchers, and students. 

This year’s CCP4 Study Weekend will take place in Nottingham (UK), January 7-9, 2025. The theme of the meeting is “Using software, AI and other methods to advance macromolecular models.” It will be held as a hybrid event, enabling people to choose whether to attend in-person or virtually. 

Highlights of this meeting include a Keynote Presentation, a discussion panel with the topic “Skill Mismatch: Are We Training Structural Biologists for Jobs That Won’t Exist?”, a poster session, presentations about “What’s New in CCP4?“, and “Lunchtime Bytes” tutorials, as well as the Diamond MX User Meeting. Lectures will focus on the presentation and discussion of a variety of methods and techniques developed and used by the leaders in the field (see programme for more details). 

***2025 will see the return of the ceilidh band “Knitter’s Jig” after the conference dinner on January 8th******** 

Programme 

Day 1 – January 7th

Diamond MX User Meeting from 11am 

Session 1: 

• Keynote talk 
• Discussion panel 
• Poster session 
• Networking event (Board Game café) 

Day 2 – January 8th

• Session 2: Demystifying the black box – new features and old tricks to use software efficiently. 
• Session 3: Using prior knowledge to improve and validate models. 
• Session 4: AI in structural biology I: Predicted models and how to use them. 
• Conference dinner followed by Ceilidh by “Knitter’s Jig” and Board Game café  

Day 3 – January 9th

• Session 5: AI in structural biology II: Other applications. 
• Session 6: Dynamics. 
• Session 7: More ways to characterize your sample. 

Scientific Organisers: 

• Elke De Zitter (Institut de Biologie Structurale, FRANCE) 
• Deborah Harrus (EMBL-EBI, UK)  
• Dorothee Liebschner (Lawrence Berkeley National Laboratory, USA)