GMMAD

GMMAD catalogs curated and predicted associations between human diseases, gut microbes, and gut microbial metabolites to enable identification of disease-associated metabolites and candidate biomarkers or drug leads.

Key Features:

• Extensive Associations: GMMAD contains 3,836 manually curated disease-microbe associations and 879,263 microbe-metabolite associations extracted from scientific literature and existing databases.
• Predictive Capabilities: Using an association strength score and a confidence score, GMMAD predicts 220,690 disease-metabolite associations restricted to metabolites produced by gut microbes and classifies associations above predefined thresholds as positive effective associations.
• Biomarker and Drug Candidate Identification: Associations below score thresholds are reported as negative effective associations and are proposed as potential biomarkers and drug candidates.

Scientific Applications:

• Disease mechanism exploration: Enables study of metabolite-mediated interactions between gut microbes and human diseases.
• Biomarker discovery: Supports identification of candidate metabolic biomarkers for diseases based on curated and predicted associations.
• Therapeutic candidate prioritization: Facilitates prioritization of microbially derived metabolites for development as drug leads.

Methodology:

Manual curation of data from scientific literature and existing databases and computation of association strength and confidence scores to generate predicted disease-metabolite associations with classification of positive and negative effective associations using predefined thresholds.