Claude benchmark: Protein design hit rates double, chemistry analysis matches labs
Dr_Singularity · x · 2026-08-19
Claude demonstrates near-autonomous capabilities in scientific workflows:
- Protein Design: Generated binders for 14 of 15 targets, with hit rates of 23–35% (vs. 10–15% typical) and some designs matching or beating best-reported affinities.
- Full Automation: Handled the entire computational pipeline—selecting binding sites, running specialized models, iterating designs, and screening—with minimal human involvement.
- Chemistry Analysis: Claude Opus 5 processed raw NMR and LC-MS files with short prompts, delivering finished analyses in 19–23 minutes that closely matched contract lab results (96.4% purity vs. 96.33%).
More from Apps
- Human Penned platform launches with AI writing ban and input tracking — generativist · 2026-08-19
- Job hunt case study: AI-optimized resume lands interviews — _jaydeepkarale · 2026-08-19
- Open-source Translumo combines multiple OCR engines to translate game text in real time — tom_doerr · 2026-08-19
- Pet Chronic Disease AI: Coach, Not Reassurance Engine — DrKavner · 2026-08-19
- GitHub Outage Report: Network Saturation Caused 8-Hour Service Disruption — RealGeneKim · 2026-08-19
- AI autonomously builds and fixes video workflow after single nudge — nptacek · 2026-08-19