🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
This episode explores how Genesis Molecular AI is leveraging advanced AI, particularly diffusion models, to revolutionize drug discovery by achieving unprecedented accuracy in protein-ligand structure prediction. Guests Evan Fineberg and Sergey Udov discuss their Pearl model, the critical 1 angstrom resolution threshold, and their vision for AI agents automating drug discovery. They also delve into the challenges and opportunities of integrating wet lab data and reinforcement learning into their cutting-edge AI pipelines.
- The highest leverage for AI in healthcare isn't identifying new disease targets or optimizing clinical trials; it's in the drug discovery and design process itself. Read →
- The 1 Angstrom Cliff: Genesis Molecular AI's Pearl model demonstrates that for drug discovery, 1 angstrom (Å) resolution isn't just nice-to-have; it's the absolute minimum threshold to reliably predict protein-ligand interactions. Anything less, and your drug fails. Read →