PETIMOT: a novel framework for inferring protein motions from sparse data using SE(3)-equivariant graph neural networks

Lombard, V.; Van, J.N.; Grudinin, S.; Laine, E.

doi:10.1107/S2059798326006054

Acta Crystallographica Section D
Acta Crystallographica
Section D STRUCTURAL BIOLOGY

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Figure 7
Performance comparison of different problem formulations. We report cumulative curves for magnitude error, corresponding to the best-matching pair of predicted and ground-truth vectors (a) (Min.) or the best combination of four pairs of predicted and ground-truth vectors (b) (OLA) and OLA LS error (c).

STRUCTURAL
BIOLOGY

ISSN: 2059-7983

Volume 82| Part 8| August 2026|

https://doi.org/10.1107/S2059798326006054

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