Network Analysis of Antibiotic Resistance Identifies Compelling Mutations across Pathways
- 1 November 2019
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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.Keywords
This publication has 22 references indexed in Scilit:
- Pan-cancer patterns of somatic copy number alterationNature Genetics, 2013
- Mapping the Protein Interaction Network in Methicillin-Resistant Staphylococcus aureusJournal of Proteome Research, 2010
- Metabolic Differentiation in Biofilms as Indicated by Carbon Dioxide Production RatesApplied and Environmental Microbiology, 2010
- ‘Guilty by Association’ – Protein-Protein Interactions (PPIs) in Bacterial PathogensGenome dynamics, 2009
- Resistance Plasmid Families in EnterobacteriaceaeAntimicrobial Agents and Chemotherapy, 2009
- Rifamycin antibiotic resistance by ADP-ribosylation: Structure and diversity of ArrProceedings of the National Academy of Sciences of the United States of America, 2008
- STITCH: interaction networks of chemicals and proteinsNucleic Acids Research, 2007
- Catalase (KatA) and Alkyl Hydroperoxide Reductase (AhpC) Have Compensatory Roles in Peroxide Stress Resistance and Are Required for Survival, Persistence, and Nasal Colonization inStaphylococcus aureusJournal of Bacteriology, 2007
- The Cfr rRNA Methyltransferase Confers Resistance to Phenicols, Lincosamides, Oxazolidinones, Pleuromutilins, and Streptogramin A AntibioticsAntimicrobial Agents and Chemotherapy, 2006
- Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial CompoundsJournal of Chemical Information and Computer Sciences, 2004