Explore the Agenda
8:00 am Check In, Morning Coffee & Light Refreshments
8:50 am Chair’s Opening Remarks
Integrating Computational Predictions & Experimental Validation to Prioritize High-Confidence Drug Design Decisions
9:00 am Combining Structural Biology, Biophysics & AI to Create Better Therapeutics Faster
- Integrate structural, biophysical, and computational data to improve decision-making and accelerate candidate progression
- Leverage AI-powered predictions alongside experimental validation to identify high-quality drug candidates with greater confidence
- Discover how leading organisations are reducing discovery timelines by combining orthogonal technologies across the drug design process
9:30 am Integrating Next-Generation Structure Prediction Models to Improve Molecular Design Decisions & Increase Confidence in Experimental Success
- Implement AlphaFold3, Boltz2, Chai, and Atheris for protein-ligand complex prediction, understanding when predictions are reliable versus when experimental validation is essential and navigating the landscape of available models
- Learn how to integrate predictions from evolutionary models, atomic foundational models, and FEP-based approaches, selecting the right tool for your specific application and avoiding naive implementation that wastes resources
- Understand the current limitations of AI-designed molecules and realistic timelines to first AI-derived drugs, managing leadership expectations while capitalising on genuine opportunities and addressing the critical data gap
10:00 am Morning Break & Networking
Accelerating Structure Determination with Next-Generation Technologies to Generate Actionable Insights Faster & Advance Drug Discovery Decisions with Confidence
11:00 am Accelerating High-Resolution Structural Insights with Cryo-EM to Expand Target Discovery & Shorten Drug Design Timelines
- Achieve sub-3Å structures in weeks instead of months by leveraging optimised cryo-EM workflows, dramatically accelerating your structure-guided design cycles
- Overcome crystallization bottlenecks for membrane proteins and large complexes, accessing structural information on targets that were previously intractable by X-ray methods and expanding your target space
- Learn strategies to manage data processing costs, storage requirements, and computational infrastructure, making cryo-EM economically viable for biotech organizations through hybrid cloud approaches and understanding true cost of ownership
11:30 am Unlocking Faster Drug Discovery with Cryo-EM: From Difficult Targets to Actionable Structures
- Accelerate structure-based drug discovery by implementing streamlined cryo-EM workflows that can deliver near-atomic-resolution structures in weeks, enabling faster iteration from target validation to lead optimisation
- Expand the range of druggable targets by applying cryo-EM to membrane proteins, multiprotein assemblies, and other challenging systems that are difficult or impossible to study using traditional crystallography
- Build a cost-effective cryo-EM strategy by addressing the realities of large-scale data processing, storage, and compute demands. Explore hybrid cloud and on-premise approaches, infrastructure optimization, and total cost-of-ownership considerations for biotech teams
12:00 pm Unlocking Rational Design of Induced Proximity Drugs Through AI-Powered Structural Proteomics
- Demonstrating how structural proteomics and AI can reveal the architecture and dynamics of induced proximity complexes that traditional structural approaches cannot capture
- Establishing a rational design framework for molecular glues and targeted protein degraders to improve potency, selectivity, and developability
- Showcasing how AI-guided structural insights accelerated Protai’s oncology pipeline, from protein complex modelling through in vivo efficacy and IND-enabling development
12:30 pm Lunch & Networking
Optimising Drug-Target Interactions to Create More Durable, Differentiated & Clinically Viable Therapeutics
1:30 pm Advancing Biophysical Characterisation Technologies to Decode Challenging Membrane Targets & Increase Confidence in Drug Discovery
- Master emerging techniques for detecting small molecule binding to GPCRs and membrane proteins, overcoming the characterisation challenges that plague these high-value targets representing 30% of marketed drugs
- Learn how nanodisc technologies preserve native protein conformations and enable structural studies, improving the physiological relevance of your biophysical data and reducing false positives
- Discover strategies to stabilise dynamic GPCR conformations using conformer technology and nanobodies, enabling structure determination of specific functional states for agonist versus antagonist design
2:00 pm Searching Trillion-Scale Chemical Space to Accelerate Rational Discovery of Novel Molecules
- Advancing computational approaches for searching trillion-scale synthon libraries
- Overcoming the challenges of sampling and screening complex microcycle structures
- Leveraging expanded chemical space to uncover new opportunities for structure-guided drug discovery
2:30 pm Engineering Molecular Glue Therapeutics Through Structure-Guided Design to Unlock Novel Targets & Accelerate Pipeline Progression
- Leveraging structural biology and computational modelling to systematically design and optimize molecular glue therapeutics.
- Unlocking novel disease pathways by targeting proteins previously considered inaccessible to conventional drug discovery approaches.
- Advancing a next-generation pipeline of molecular glue candidates through datadriven discovery and preclinical validation.