Antimicrobial Resistance: Enzymes, Proteins, and Computational Resources

Saurav Kumar Mishra1, Kanchan Sharma1, John J Georrge1

  • 1Department of Bioinformatics, University of North Bengal, District-Darjeeling, Siliguri, 734013, West Bengal, India.

PubMed

Insights

Antimicrobial resistance (AMR) is a growing global health crisis driven by antibiotic misuse. Understanding resistance mechanisms and developing inhibitors are crucial to combat drug-resistant bacteria and improve patient outcomes.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Public Health

Background:

  • Antimicrobial resistance (AMR) is a significant global health threat.
  • It arises from antibiotic misuse and overuse, leading to drug-resistant bacteria.
  • Factors like misdiagnosis and incomplete treatment exacerbate AMR.

Purpose of the Study:

  • To elucidate the mechanisms of antimicrobial resistance.
  • To highlight the clinical impact of AMR on patient outcomes.
  • To incorporate recent World Health Organisation (WHO) data on the AMR crisis.

Main Methods:

  • Review of scientific literature on AMR mechanisms.
  • Analysis of clinical perspectives and patient outcomes.
  • Inclusion of recent global AMR trends and WHO data.
  • Exploration of potential inhibitors and computational resources for predicting resistance genes/proteins.

Main Results:

  • Identified key enzymes and proteins involved in AMR.
  • Emphasized the escalating impact of AMR on healthcare systems and patient prognoses.
  • Highlighted recent global trends and the urgent need for action.

Conclusions:

  • Understanding AMR mechanisms is vital for developing effective interventions.
  • Inhibitors and computational tools show promise in combating antibiotic resistance.
  • Addressing AMR requires a multifaceted approach, informed by global data and clinical insights.

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