Hacker News with Generative AI: Drug Discovery

Is SaaS a good business model for drug‑discovery companies? (liorz.github.io)
In 2024 the Nobel Prize in Chemistry went to David Baker, Demis Hassabis, and John Jumper for their groundbreaking advances in computational protein design and protein‑structure prediction. Their achievements—most famously the AlphaFold2 model—have sparked a wave of enthusiasm for applying “foundation models” to biology.
Nvidia Launches AI Reference Workflow for Drug Discoverers (genengnews.com)
Drug discoverers are among customers Nvidia has pinpointed for its recently launched NVIDIA NIM™ Agent Blueprints, pretrained, customizable workflows enabling enterprise-level users to make their own artificial intelligence (AI) applications.
Chai-1: Decoding the molecular interactions of life (chaidiscovery.com)
We’re excited to release Chai-1, a new multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of tasks relevant to drug discovery. Chai-1 enables unified prediction of proteins, small molecules, DNA, RNA, covalent modifications, and more.
AlphaProteo generates novel proteins for biology and health research (deepmind.google)
New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
Drug Discovery with Vector Search (github.com/fzliu)