Interpretable prediction of nucleic acid-binding proteins using a protein language model
It is demonstrated that attention-based protein language models can accurately identify nucleic acid-binding proteins directly from sequence data and reveal biologically meaningful sequence determinants of binding, establishing an interpretable and scalable framework for proteome-wide characterization of protein–nuclei...