In drug discovery, scientists identify promising compounds and work to develop them into effective therapeutics. However, they often struggle to navigate expansive compound libraries and prioritize candidates efficiently. Researchers are now developing platforms that leverage artificial intelligence (AI) to virtually screen vast chemical spaces, optimize molecular structures, and predict chemical properties.

In this webinar brought to you by HITS, Jae Chang Lim and Hyun Joon Chang will highlight the AI drug discovery platform HyperLab and discuss how AI-based molecule design, large-scale virtual screening, and integrated discovery workflows are accelerating early-stage drug development.

Topics to be covered
• Exploring the latest AI trends, including AI agents and large language models, and their applications in drug discovery
• Designing novel drug molecules with exceptional accuracy and ease using AI
• Leveraging AI to identify novel hits from an 11-trillion-compound library
• Streamlining compound discovery and delivery with AI-driven workflows