ProteinGCN: Protein model quality assessment using GraphConvolutional Networks
Soumya Sanyal, Ivan V. Anishchenko, Anirudh Dagar, David A. Baker, Partha Pratim Talukdar
Graph convolutions on atom graphs with distance, orientation and bond edge features predict per-residue and global lDDT of protein models, outperforming VoroMQA and retrained Ornate while using about 100k parameters.
bioRxiv · Apr 6, 2020 · PreprintBioinformatics✦ In-depth digest