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AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network

Source: Nature Methods

Nature Methods, Published online: 01 April 2026; doi:10.1038/s41592-026-03047-4ROCKET improves experimental structure elucidation by integrating implicit structural knowledge from OpenFold, a trainable reimplementation of AlphaFold2, with X-ray crystallographic and cryo-electron microscopy experiments.

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