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

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Explore the Agenda

Hear the latest discovery innovations taking place within South Korea as well as perspectives from global experts.

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