Advancing Antibiotic Resistance Classification with Deep Learning Using Protein Sequence and Structure
Aymen Qabel, Sofiane Ennadir, Giannis Nikolentzos, Johannes F. Lutzeyer, Michail Chatzianastasis, Henrik Boström, Michalis Vazirgiannis
This paper develops two deep learning models using protein sequence and structure to classify antibiotic resistant genes, achieving over 73% accuracy across 18 categories.
bioRxiv · Oct 6, 2022 · PreprintBioinformatics