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Antibiotic Selection00:57

Antibiotic Selection

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Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

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Updated: May 25, 2026

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
12:32

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Published on: December 14, 2019

In vitro antibacterial resistance selection and quantitation.

Katherine Young1

  • 1Merck Research Laboratories, Rahway, New Jersey, USA.

Current Protocols in Pharmacology
|February 2, 2012
PubMed
Summary

Understanding antibacterial resistance frequency is crucial for developing new drugs. Protocols are provided to determine resistance rates and generate mutants, preventing clinical failure from pre-existing resistant bacteria.

Area of Science:

  • Microbiology
  • Pharmacology
  • Drug Discovery

Background:

  • Antibacterial resistance poses a significant threat to public health.
  • The presence of pre-existing resistant mutants can lead to clinical failure of new antibacterial agents.
  • Determining resistance frequency is vital for the successful development of new antibacterial therapies.

Purpose of the Study:

  • To provide protocols for determining the frequency and rate of resistance to antibacterial agents.
  • To outline methods for generating resistant mutants for further study.
  • To support the discovery and development of novel antibacterial compounds.

Main Methods:

  • Development of standardized protocols for resistance frequency determination.
  • Methodologies for isolating and characterizing resistant bacterial mutants.

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  • Application of these methods in antibacterial discovery programs.
  • Main Results:

    • Established reliable methods for quantifying antibacterial resistance frequency.
    • Generated characterized resistant mutants for mechanistic studies.
    • Provided a framework for assessing the clinical viability of new antibacterial agents.

    Conclusions:

    • Accurate determination of resistance frequency is essential for antibacterial drug development.
    • Protocols presented enable the characterization of resistance mechanisms.
    • This work aids in the discovery of effective antibacterial agents and prevents clinical failures.