Structure-free AI drug discovery model Ptarmigan-1 opens for public use
ycombinator · x · 2026-10-02
Ptarmigan-1 is now open for everyone. The AI model predicts which small molecules bind a protein—and where—without requiring a 3D protein structure.
It learns from multiple data modalities, including measurements of proteins at work inside living human cells. The author traces a long journey from grad school, where top chemists spoke of "undruggable" targets, to joining Jay Bradner's lab whose T-shirts read "nothing is undruggable," calling this release the culmination of that path.
More from Research
- Google's RPTune Paper: Catalog Curation + Post-Training Boosts LLM Search Accuracy by 31.4 Points — _reachsumit · 2026-10-02
- GrIS paper reframes Semantic IDs as recursive graph partitioning for generative recommendation — _reachsumit · 2026-10-02
- MatRAG pairs hierarchical clustering with Matryoshka embeddings to cut multi-hop RAG cost — _reachsumit · 2026-10-02
- Meta paper: only 50-60% of recommendation training time actually trained before optimizations — _reachsumit · 2026-10-02
- OmniSeek turns Omni-LLMs into agents that actively seek audio-visual evidence — Haibo Wang · 2026-10-02
- Netflix's Align Then Reason lip-sync judge boosts mean AUC by up to 59% — netflix · 2026-10-02