AADB

AADB curates experimentally validated antibiotic–adjuvant combinations to support research into adjuvants that potentiate antibiotic efficacy and address antimicrobial resistance.

Key Features:

• Comprehensive Data Collection: Contains 3,035 unique antibiotic–adjuvant combinations derived from manual curation of literature, covering 83 antibiotics, 226 adjuvants, and 325 bacterial strains.
• Integration with Related Datasets: Links antibiotic–adjuvant entries with chemogenomic and metabolomic datasets to enable multi-dimensional analyses of molecular interactions and mechanisms.
• Computational Strategy for Data Analysis: Employs a computational framework to dissect complex datasets and identify candidate adjuvants, applied to nominate 10 candidate adjuvants for minocycline with six confirmed effective against E. coli BW25113.

Scientific Applications:

• Identification of Synergistic Combinations: Enables discovery of new synergistic combinations that potentiate the efficacy of existing antibiotics.
• Facilitation of Drug Repurposing Studies: Supports repurposing efforts by providing curated adjuvant data relevant to resistant bacterial strains.
• Enhancement of Antibiotic Development: Informs development of antibiotic formulations that leverage adjuvants to overcome resistance mechanisms.

Methodology:

Uses a computational framework to analyze antibiotic–adjuvant combination data and integrate chemogenomic and metabolomic datasets for candidate identification.