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PLAID Hijacks AlphaFold's Brain to Invent New Proteins

AlphaFold nailed prediction. PLAID? It designs. By sneaking into folding models' latent spaces, this new system spits out novel proteins on command, trained on sequence oceans no structure database can match.

Sarah Chen 📅 Mar 19, 2026 ⏱️ 3 min read 👁️ 5 views
PLAID model diagram showing latent diffusion from ESMFold embeddings to generated protein sequence and 3D structure

⚡ Key Takeaways

  • PLAID generates full protein sequences and all-atom structures by diffusing in folding models' latent spaces—no structure training data needed.
  • use massive sequence databases (2-4x larger than structures) for broader, scalable protein design.
  • Enables controls for function and organism, paving way for practical drug design with prompts like image generation.

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Sarah Chen
Written by

Sarah Chen

AI research editor covering LLMs, benchmarks, and the race between frontier labs. Previously at MIT CSAIL.

#AlphaFold #ESMFold #Generative AI #diffusion-models #drug design #latent-space #protein folding #protein-design

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Originally reported by Berkeley AI Research

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