ELRIG Protein Sciences in Drug Discovery 2026
Event Details:
- Date: November 10-11, 2026
- Location: GSK Stevenage, UK
- Hosted by: ELRIG in partnership with the Protein Society
Overview:
The meeting will focus on the integration of emerging protein science techniques in modern drug discovery, with a significant emphasis on the role of AI and data advancements.
Program Highlights:
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AI and Machine Learning: The program will delve into predictive protein design, in silico workflow development, and quality control techniques for challenging protein targets, such as membrane proteins and protein complexes.
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Emerging Therapeutics: Topics will include developments in antibody drug conjugates and novel therapeutic proteins.
Networking Opportunities: Participants are encouraged to network with professionals from academia, pharma, biotech, and CROs, as well as attend exhibitions to stay updated on the latest research.
Track Information
Day 1 – Tuesday, November 10
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AM Session: AI and ML in Protein Sciences
- Track Chair: Nicola Burgess Brown (SGC-UCL)
- Focus: The use of machine learning models to predict protein behavior, drive data generation, and address key unmet needs in drug discovery.
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PM Session: Challenging Targets and Complexes
- Track Chair: Rick Davies (Sygnature Discovery)
- Focus: Innovative methods for producing complex and challenging target proteins essential for therapeutic development.
Day 2 – Wednesday, November 20
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AM Session: Developability and Quality Control for Antibodies and Alternative Biologics
- Track Chair: Pietro Sormanni
- Focus: Strategies for ensuring robustness and manufacturability of antibody candidates, including biophysical quality control measures.
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PM Session: Non-Standard Binding Proteins
- Track Chair: Kim Remans (European Molecular Biology Laboratory)
- Focus: Addressing the challenges related to the production and characterization of new binding proteins like single-domain antibodies and AI-designed proteins.
Join this vital gathering to explore how innovative approaches in protein science are shaping the future of drug discovery.
