MicrobiomeNet

MicrobiomeNet integrates microbial associations with their metabolic profiles to facilitate mechanistic insights into microbial interactions.

Key Features:

• Microbial Association Database: The database contains approximately 5.8 million known microbial associations.
• Genome-Scale Metabolic Models: It includes more than 12,400 genome-scale metabolic models (GEMs) covering approximately 6,000 microbial species.
• Metabolic Profile Comparison: Users can explore microbial associations and compare their corresponding metabolic profiles.
• Mechanistic Insights: Case studies demonstrate that the database provides mechanistic insights consistent with the literature.

Scientific Applications:

• Microbial Interaction Analysis: Exploration of microbial associations under diverse conditions to understand interaction patterns.
• Metabolic Mechanism Elucidation: Investigation of how metabolic profiles explain microbial association patterns for translational applications.
• Small Molecule Interaction Study: Analysis of how microbes produce small molecules to interact with each other and modulate their environments.

Methodology:

The database integrates microbial associations with genome-scale metabolic models; specific computational methods for constructing the database are not explicitly stated in the sources.