AI RESEARCH
CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints
arXiv CS.AI
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ArXi:2602.22263v2 Announce Type: replace-cross High-resolution structure determination by cryo-electron microscopy (cryo-EM) requires the accurate fitting of an atomic model into an experimental density map. Traditional refinement pipelines such as Phenix.real_space_refine and Rosetta are computationally expensive, demand extensive manual tuning, and present a significant bottleneck for researchers. We present CryoNet. Refine, an end-to-end deep learning framework that automates and accelerates molecular structure refinement.