AI RESEARCH
Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification
arXiv CS.LG
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ArXi:2605.29228v1 Announce Type: new Protein structure classification (PSC) uses supervised learning to predict a protein's CATH/SCOP(e) class from the protein's sequence or 3D structural feature(s). We already modeled 3D structures as (static) protein structure networks (PSNs), nstrating the competitiveness of PSN-based features to sequence or direct (i.e. non-network) 3D structural features in the PSC task.