SegmA: Residue Segmentation of cryo-EM density maps
SegmA is a deep learning model that segments cryo-EM density maps into residue types, achieving 80% accuracy for nucleotides and improved amino acid detection after removing low-confidence regions.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 5, 2023Peer-reviewedBioinformatics