MetaMed

MetaMed maps system-wide correlations between microbial functions and medicinal therapeutics to link microbiota activities and metabolites to drug efficacy, side effects, and potential microbe-derived therapeutics.

Key Features:

• System-Wide Correlation Mapping: Integratively maps correlations between bacterial functions and therapeutic agents across datasets.
• Hypothesis Generation for Microbe Therapeutics: Generates hypotheses connecting microbial activities and drug responses to identify candidate microbe-based therapeutic mechanisms.
• Environmental Microbes and Drug Relationships: Analyzes relationships between environmental microbes, microbiota metabolites, and pharmaceuticals to identify metabolites relevant to drug development.

Scientific Applications:

• Microbiome Research: Investigating the role of human microbiota in health and disease by providing correlation maps between microbial functions and drugs.
• Clinical Optimization: Supporting studies to minimize adverse drug effects and optimize therapeutic strategies through identified microbe–drug associations.
• Drug Discovery: Identifying microbiota-derived metabolites with potential pharmaceutical applications for drug discovery and development.

Methodology:

MetaMed employs a novel integrative approach that combines data from various sources to establish correlations between bacterial functions and medicinal therapeutics.