A protein flexibility predictor based on persistent sheaf Laplacians claims a 32% improvement over GNM, but the gain is an artifact of in-sample regression and disappears in the authors' own blind tests.
Atom-specific persistent homology and its application to protein flexibility analysis
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Persistent Sheaf Laplacian Analysis of Protein Flexibility
A protein flexibility predictor based on persistent sheaf Laplacians claims a 32% improvement over GNM, but the gain is an artifact of in-sample regression and disappears in the authors' own blind tests.