As Korea rapidly emerges as a global hub for drug discovery innovation, this forum will allow you to explore best-in-class platforms for next-generation modalities by integrating AI for smarter, faster, and de-risked drug discovery.
With modality-agnostic content split 50:50 between biologics and small molecule therapies, here’s a sneak peek of the pan-modality insights case studies utilizing structural biology, biophysics, and computational workflows to unlock in December:
ADCs & Antibody Therapeutics
Utilizing TuneLab AI Models to Access Lilly-Trained Resources & Overcome Challenges in Drug Discovery
Vanessa Braunstein, Senior Director, TuneLab AI Drug Discovery Platform Ecosystem Growth, Eli Lilly
Utilizing Spatial Biology & PK/PD Data to Optimize Target Discovery, Target-Linker Pairing & Payload Selection for Innovative ADC Discovery
Daeseung Lee, Co-Founder & Chief Executive Officer, Portrai
Induced Proximity & Molecular Glues
AI4GLUE: Closing the Design–Experiment Loop for Predictive Discovery of Molecular Glues
Chunhui Xu, Lead, AI4Glue Platform, Degron Therapeutics
Self-Driving Drug Discovery: Leveraging Autonomous Research AI to Orchestrate Foundation Models for Molecular Glue Degrader Discovery
Jaewoo Kang, Founder & Chief Executive Officer, AIGEN Sciences
Peptides & Cancer Vaccines
Navigating Data Generation, Standardization & Iterative Feedback to Develop an AI-Driven Platform to Accelerate Discovery of Novel Peptide Therapies
Shan Chen, Senior Director, AIDD, Innovent Biologics
Exploring Applications of In Silico Screening to Enable Faster & More Precise Antigen Epitope Discovery for Cancer Vaccine Therapies
Wonil Kim, Chief Scientific Officer, Aston Sci