FlexFlux

FlexFlux integrates metabolic flux analysis and regulatory network modeling to analyze genome-scale cellular metabolism by computing regulatory steady states that constrain Flux Balance Analysis (FBA) without requiring kinetic parameters.

Key Features:

• Integration of Metabolic and Regulatory Networks: Integrates metabolic flux analysis with regulatory network models to link regulation and metabolic pathway usage.
• Steady-State Simulation Approach: Computes steady states in regulatory networks via synchronous updates of multi-state qualitative initial values and uses those steady-state values as constraints for metabolic flux analysis.
• No Need for Kinetic Parameters: Performs regulatory and metabolic analyses without requiring kinetic parameterization.
• Support for Standard Formats: Accepts Systems Biology Markup Language (SBML) and the SBML Qualitative Models Package (SBML-qual).

Scientific Applications:

• Systems-level analysis of metabolism and regulation: Enables exploration of the interplay between metabolic pathways and regulatory mechanisms at the systems level.
• Synthetic biology: Facilitates analysis of regulatory and metabolic interactions relevant to engineered biological systems.
• Metabolic engineering: Assists prediction of metabolic flux distributions under regulatory constraints for strain and pathway design.
• Disease modeling: Supports investigation of how regulatory changes impact cellular metabolism in disease contexts.

Methodology:

Regulatory network steady states are sought by synchronous updates of multi-state qualitative initial values, and the resulting steady-state values are applied as constraints in Flux Balance Analysis (FBA)-based metabolic flux simulations without requiring kinetic parameters.