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.

The paper introduces a node embedding algorithm for drug repurposing that outperforms walk-based methods by 53.33% in average precision.