861-ROCKET: Experimental Structure Determination
The paper introduces ROCKET, a novel computational framework that enhances AlphaFold2 by incorporating real-world data from X-ray crystallography and cryo-electron microscopy. While standard machine learning models excel at predicting protein shapes from sequences, they often struggle with dynamic conformational changes and low-resolution experimental signals. ROCKET addresses these gaps by optimizing structures within a specialized coevolutionary embedding space rather than using traditional coordinate adjustments. This method allows for the automated creation of accurate atomic models even…
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