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

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.