Network Analysis of Antibiotic Resistance Identifies Compelling Mutations across Pathways

Kimia Ameri, Kathryn Cooper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
EditorsIllhoi Yoo, Jinbo Bi, Xiaohua Tony Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages188-192
Number of pages5
ISBN (Electronic)9781728118673
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019 - San Diego, United States
Duration: Nov 18 2019Nov 21 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019

Conference

Conference2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019
Country/TerritoryUnited States
CitySan Diego
Period11/18/1911/21/19

Keywords

  • Antibiotic Resistance
  • Multi-drug Resistance
  • Mutational Network
  • Staphylococcus aureus

ASJC Scopus subject areas

  • Biochemistry
  • Biotechnology
  • Molecular Medicine
  • Modeling and Simulation
  • Health Informatics
  • Pharmacology (medical)
  • Public Health, Environmental and Occupational Health

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