Decoding RIPTAC Mechanism of Action: Deep Data Mining & Target-Effector Pair Differentiation in Novel Proximity-Based Therapeutics

•  AI & mechanistic biology dissection of RIPTAC MoA: AI modeling and proprietary biological modules to characterize AR-BRD4 / ER-BRD4 target-effector pairs
• Core strengths of RIPTAC: Mechanistic superiority, better safety and wider therapeutic index versus traditional small-molecule inhibitors
• Novel pair of EP and TP validation: Multi-layer biophysical/cellular assays plus computational modeling to validate targets and derisk early drug discovery pipelines

Speakers:

TJ Bing

Senior Vice President, Head of Biology

ICE Bioscience