Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes

Predicting the structure of multi‐protein complexes is a grand challenge in biochemistry, with major implications for basic science and drug discovery. Computational structure prediction methods generally leverage predefined structural features to distinguish accurate structural models from less acc...

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