CAL applies commutative algebra to build multi-scale localized descriptors for protein B-factor prediction, claiming 34.5% improvement over GNM on 364 proteins.
Caml: Commutative algebra machine learning-a case study on protein–ligand binding affin- ity prediction.Journal of Chemical Information and Modeling, 65(13):6732–6743, 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.