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Antimicrobial Effectiveness01:28

Antimicrobial Effectiveness

The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
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Cell-culture Database: Literature-based reference tool for human and mammalian experimentallybased cell culture applications.

Bioinformation·2012
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Updated: Jun 3, 2026

Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance
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Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance

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The Antimicrobial Index: a comprehensive literature-based antimicrobial database and reference work.

Vafa David Amirkia1, Pan Qiubao

  • 1TOKU-E Company, Research and Development Division, 150 Cecil St. #16-00, Singapore 069543.

Bioinformation
|March 9, 2011
PubMed
Summary

The Antimicrobial Index (TAMI) centralizes antimicrobial susceptibility data to combat rising bacterial resistance. This comprehensive database aids researchers by consolidating information on antimicrobials and microorganisms, promoting knowledge sharing.

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

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Area of Science:

  • Microbiology
  • Pharmacology
  • Medicinal Chemistry

Background:

  • Increasing antimicrobial usage presents challenges like antibiotic resistance and inefficient practices.
  • Growing bacterial resistance necessitates exploring alternative antimicrobials, including plant extracts and synthetic chemicals.
  • Existing antimicrobial data is fragmented across various scientific publications.

Purpose of the Study:

  • To introduce The Antimicrobial Index (TAMI) as a centralized resource for antimicrobial susceptibility data.
  • To provide a comprehensive database for researchers investigating antimicrobial resistance and efficacy.
  • To foster international cooperation and knowledge exchange in antimicrobial research.

Main Methods:

  • Data compilation from over 400 published scientific articles.
  • Inclusion of detailed antimicrobial information: mechanism of action, physical properties, resistance genes, side effects, and minimal inhibitory concentrations (MIC50, MIC90, ranges).
  • Cataloging data for 960 antimicrobials and over 24,000 microorganisms, including 3,500 unique strains.

Main Results:

  • TAMI currently houses data on 960 antimicrobials and over 24,000 microorganisms.
  • The index aggregates critical antimicrobial data points, facilitating easier access and analysis.
  • The database is continuously expanding in volume and scope.

Conclusions:

  • TAMI serves as a valuable centralized resource to address challenges posed by antimicrobial resistance.
  • The index aims to enhance research efficiency and support the development of novel antimicrobial strategies.
  • Continued growth and accessibility of TAMI are expected to promote global collaboration in antimicrobial science.