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| Time | Session | Target Selection & Validation | Hit Identification | Lead Optimization | Early ADME/Tox | AI in Drug Discovery |
|---|---|---|---|---|---|---|
| 8:00 – 8:30 | Registration & Welcome Coffee | |||||
| 8:30 – 9:00 |
Welcome & Keynote Presentation
Next-Gen Small Molecule Innovation: Unlocking Complex Targets with Confidence
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| Breakout Sessions | ||||||
| 9:05 – 10:05 | Session 1 |
Target Selection & Validation
Overcoming the challenge of targeting protein-protein interactions in undruggable space
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Hit Identification
Improving hit rates: Emerging strategies in fragment-based and DNA-encoded library screening
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Lead Optimization
Striking the balance between potency, solubility, and metabolic stability
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Early ADME/Tox in Drug Discovery
Predicting human pharmacokinetics earlier: Reducing late-stage failures
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AI in Drug Discovery
Data quality crisis: Why AI models fail without clean, structured chemistry data
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| Moderator | ||||||
| 10:10 – 10:40 | Sponsor 1:1 Sessions / Peer-to-Peer Networking | |||||
| 10:40 – 11:10 | Sponsor 1:1 Sessions / Peer-to-Peer Networking | |||||
| 11:10 – 11:20 | Refreshment Break | |||||
| 11:20 – 12:20 | Session 2 |
Target Selection & Validation
Using omics and CRISPR tools to validate high-confidence small molecule targets
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Hit Discovery
Integrating AI/ML with HTS platforms to accelerate hit identification
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Lead Optimization
Predicting and managing off-target effects during lead optimization
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Early ADME/Tox in Drug Discovery
Metabolism & stability challenges: Designing molecules that survive the body
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AI in Drug Discovery
AI for de novo design: Overcoming the gap between generated molecules and synthesizable reality
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| Moderator | ||||||
| 12:20 – 13:20 | Lunch | |||||
| 13:25 – 13:55 |
Spotlight Presentation
Discovery of a First-in-Class Oral Inhibitor for a CNS Target
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| 14:00 – 14:30 | Sponsor 1:1 Sessions / Peer-to-Peer Networking | |||||
| 14:30 – 15:00 | Sponsor 1:1 Sessions / Peer-to-Peer Networking | |||||
| 15:00 – 15:10 | Refreshment Break | |||||
| 15:10 – 15:40 | Session 3 |
Case Study - Target Selection & Validation
Leveraging single-cell transcriptomics for target identification in oncology
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Case Study - Hit Discovery
Miniaturized assays for ultra-high-throughput fragment screening
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Case Study - Lead Optimization
Physicochemical profiling and optimization for oral bioavailability
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Case Study - Early ADME/Tox
Early safety flags: Identifying hERG, off-targets, and cytotoxicity before it's too late
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AI in Drug Discovery
Closing the loop: Challenges in building autonomous, AI-driven discovery pipelines
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| Moderator | ||||||
| 15:45 – 16:45 | Session 4 |
Target Selection & Validation
Leveraging single-cell transcriptomics for target identification in oncology
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Hit Discovery
Miniaturized assays for ultra-high-throughput fragment screening
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Lead Optimization
Physicochemical profiling and optimization for oral bioavailability
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Early ADME/Tox in Drug Discovery
Bridging the translation gap: Connecting in vitro potency to in vivo efficacy
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AI in Drug Discovery
Trust & interpretability: Making AI predictions actionable for chemists
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| Moderator | ||||||
| 16:45 – 17:45 | Evening Networking Reception | |||||
