Fold'EM: Direct atomic structure inference from Cryo-EM particles

arXiv:2610.01358 · q-bio.BM, cs.AI · Submitted 2026-10-01 · Read on arXiv

q-bio.BM, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-02

Terminology

• Ab Initio — 98× in this paper · explained in 1 episode
• Accuracy — 19× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Embeddings — 5× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Decode — 3× in this paper · explained in 2 episodes
• Diffusion Process — 3× in this paper · explained in 2 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Protein Data Bank — 2× in this paper
• Steering — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Inference-Time Steering — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes

Sources

• Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
• Generative modeling of protein ensembles guided by crystallographic electron densities

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