Predicted weighted shortest paths from one target protein (centre) to 6 resistance proteins

​Antibiotic resistance is a global emergency.
We conduct a systems level analysis of Staphylococcus Aureus, a pathogen which is notorious for its ability to become resistant to antibiotics.

We analyze the protein-protein interaction (PPI) network of Staph Aureus and propose a novel shortest path based algorithm which takes into account chemical-protein interaction scores. Our algorithm achieves 68.5% accuracy in predicting already known resistance-associated proteins, validating the approach for exploring antibiotic resistance pathways in pathogens.

More details can be found in our report.