Network Analysis of Antibiotic Resistance Identifies Compelling Mutations across Pathways

Abstract

The mechanism for the formation of antibiotic resistance is not clearly understood and has remained challenging due to the evolving nature of the bacterial genome. Staphylococcus aureus is a commensal of the human microbiota found in the upper and occasionally lower respiratory airways and adherent to adnexal regions. The S. aureus is responsible for several acute and chronic illnesses such as osteomyelitis, endocarditis, and infection from implanted devices. It can cause mild to life-threatening infections. In addition to its potential for hostility, S. aureus demonstrates the exceptional diversity of resistance mechanisms against antimicrobial efforts. S. aureus resistance can be attributed to permanent mutations at the genetic level. SANVA (Staphylococcus aureus Network-Based Variant Analysis) is an analytic method based on a network that can analyze the staphylococcal isolates to find the compelling mutations in Protein-Protein Interaction network. These mutated genes might be able to introduce new targets for antimicrobial drugs.