CAL applies commutative algebra to build multi-scale localized descriptors for protein B-factor prediction, claiming 34.5% improvement over GNM on 364 proteins.
Persistent sheaf laplacian analysis of protein flexibility.The Journal of Physical Chemistry B, 129(17):4169–4178, April 2025
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Commutative Algebra Learning for Protein Flexibility Analysis
CAL applies commutative algebra to build multi-scale localized descriptors for protein B-factor prediction, claiming 34.5% improvement over GNM on 364 proteins.