Pre-Conference Day

How close are we to making oral peptide therapeutics the new standard of care?

As demand grows for more convenient, patient-friendly therapies, how can developers overcome the persistent challenges of poor bioavailability, gastrointestinal degradation and limited permeability without compromising safety or scalability? Is it time to move beyond traditional permeation enhancers towards intrinsically orally available peptides? And which formulation strategies are best positioned to deliver clinically meaningful improvements while supporting successful translation to the clinic?

In this workshop:

• Discover how to increase peptide bioavailability from single digits to 20-30% by modifying physical properties rather than relying on traditional permeation enhancers
• Learn formulation strategies that enable scalable, cost-efficient oral delivery with favourable regulatory safety profiles
• Understand how double-digit bioavailability can be achieved with oral formulations entirely based on FDA approved excipients and peptide design
• Gain insights into selecting the right formulation technology early in preclinical development to avoid costly late-stage failures
• Master the critical transition from injectable to oral modalities to capture multi billiondollar market opportunities.

Are your AI-driven discovery workflows accelerating innovation, or simply generating more noise?

With AI rapidly transforming peptide discovery, how can you separate genuinely impactful technologies from overhyped solutions? Which computational approaches are delivering measurable improvements in hit identification, optimisation and candidate selection? And how can researchers overcome the limitations of current AI models when designing peptides with non-canonical amino acids and increasingly complex modalities?

This workshop will gather experts to discuss:

• Distinguish between AI tools that deliver real value versus overhyped solutions that waste resources and time
• Master co-folding methods like AlphaFold for identifying binders against challenging targets with non-canonical amino acids
• Learn how molecular dynamics simulations can test and refine co-folding predictions by capturing how peptides behave in motion
• Learn how to combine AI predictions, molecular dynamics simulations and experimental data generation with informed model training for superior hit discovery
• Discover which AI-driven design approaches work for macrocyclic peptides versus structured mini-binders.