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Clinical Significance of Antibiotic Resistance01:25

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Methicillin-resistant Staphylococcus aureus (MRSA) presents a critical public health threat, arising from its capacity to resist β-lactam antibiotics due to acquisition of the mecA gene within the staphylococcal cassette chromosome mec (SCCmec). This gene encodes penicillin-binding protein 2a (PBP2a), which impairs binding efficacy of methicillin and other β-lactams. MRSA has evolved into distinct clonal lineages impacting humans and animals alike, reinforcing its significance within the One...
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Related Experiment Video

Updated: May 11, 2026

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
08:58

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes

Published on: March 3, 2023

The comprehensive antibiotic resistance database.

Andrew G McArthur1, Nicholas Waglechner, Fazmin Nizam

  • 1M.G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.

Antimicrobial Agents and Chemotherapy
|May 8, 2013
PubMed
Summary
This summary is machine-generated.

The Comprehensive Antibiotic Research Database (CARD) aids antibiotic discovery by analyzing pathogen genomes. It identifies antibiotic resistance genes, bridging gaps in healthcare, agriculture, and environmental science.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Microbiology

Background:

  • The genome revolution has not been fully utilized for antibiotic drug discovery and resistance monitoring.
  • Limited bioinformatics tools exist for mining pathogen genomic data, particularly for antibiotic resistance genetics and genomics.
  • Understanding antibiotic resistance impacts on bacterial populations, ecology, and clinical settings is crucial.

Purpose of the Study:

  • To develop specialized bioinformatics tools for antibiotic resistance research.
  • To create a centralized database integrating molecular and sequence data for antibiotic resistance.
  • To facilitate the identification of antibiotic resistance genes in unannotated genomes.

Main Methods:

  • Development of the Comprehensive Antibiotic Research Database (CARD).
  • Integration of disparate molecular and sequence data.
  • Utilization of the Antibiotic Resistance Ontology (ARO) for organizing data.
  • Implementation of rapid identification of putative antibiotic resistance genes.

Main Results:

  • The CARD database has been established, integrating diverse data types.
  • The Antibiotic Resistance Ontology (ARO) provides a structured framework for antibiotic resistance information.
  • The platform enables quick identification of potential antibiotic resistance genes in genomic sequences.

Conclusions:

  • The CARD platform offers a novel bioinformatics tool for antibiotic resistance research.
  • This tool bridges concerns regarding antibiotic resistance across healthcare, agriculture, and environmental sectors.
  • It enhances the exploitation of genomic data for antibiotic discovery and resistance monitoring.