Protein design preprint compresses sequences into 8,192 ProtWords and generates folded proteins

CatAstro_Piyush · x · 2026-07-25

• The post points to a preprint that compresses protein sequences into a latent vocabulary of 8,192 ProtWords, downsampled to L/4, while preserving both sequence and fold information.
• The authors say they can perform diffusion sampling in this space to generate folded proteins from scratch.
• The thread also mentions functional cofilin designs reported in the preprint, suggesting the method can produce not just plausible folds but experimentally meaningful designs.

Original post →

More from Research

• Open ECDSA.fail challenge uses AI agents to shrink Shor's-algorithm quantum circuits for Bitcoin keys — StefanoGogioso · 2026-09-11
• Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents — IgorCarron · 2026-09-11
• Navier-Stokes, Riemann, P vs NP: what this week's math buzzwords mean for you — koltregaskes · 2026-09-11
• Fruit fly brain as an LLM: connectome-driven language model demo goes live — ngxson · 2026-09-11
• Harry Collins: LLMs can't do frontier science because they can't invent new language — whoamisri · 2026-09-11
• The Waymo effect: how AI is quietly making research less collaborative — JohnHammersley · 2026-09-11

Research channel →