NetCooperate

NetCooperate quantifies cooperative potential between host-microbe and microbe-microbe pairs by analyzing metabolic networks to assess biosynthetic support and metabolic complementarity.

Key Features:

• Biosynthetic Support Score (BSS): Calculates the Biosynthetic Support Score to quantify a host species' ability to fulfill the nutritional requirements of parasitic or commensal organisms.
• Metabolic Complementarity Index (MCI): Computes the Metabolic Complementarity Index to measure niche complementarity between two microbial species by assessing how their metabolic capabilities complement each other.
• Graph Theory-Based Analysis: Applies graph theory-based methods to analyze the topology of metabolic networks and predict interactions, facilitating identification of evolutionary and ecological processes that influence species interactions.
• Input Flexibility: Accepts pairs of metabolic networks as input to support both small-scale and large-scale comparative analyses.
• Output Insights: Produces BSS and MCI values and generates a list of potential syntrophic metabolic compounds linking interacting organisms.

Scientific Applications:

• Pathogenomics: Evaluates how pathogens exploit host-derived metabolites by quantifying host biosynthetic support to pathogenic organisms.
• Microbial Ecology: Maps metabolic interdependencies and niche complementarity within microbial communities to inform community assembly and stability studies.
• Symbiosis Studies: Investigates mutualistic relationships by identifying complementary metabolic capabilities and potential syntrophic exchanges between partners.
• Evolutionary Biology: Reveals metabolic bases of species interactions to assess evolutionary pressures shaping microbial ecosystems.

Methodology:

Calculates BSS and MCI from pairs of metabolic networks using graph theory-based analysis of network topology within a reverse-ecology framework and identifies potential syntrophic metabolic compounds.