A topological machine learning model integrating persistent Laplacian, physicochemical, and ESM-2 features predicts mutation-induced binding affinity changes for protein-DNA and protein-RNA complexes with reported state-of-the-art accuracy.
A single amino acid can determine the dna binding specificity of homeodomain proteins
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Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation
A topological machine learning model integrating persistent Laplacian, physicochemical, and ESM-2 features predicts mutation-induced binding affinity changes for protein-DNA and protein-RNA complexes with reported state-of-the-art accuracy.