MC3

MC3 validates stoichiometric models of biochemical networks by detecting structural and constraint inconsistencies to ensure model consistency prior to sharing or analysis.

Key Features:

• Stoichiometric Model Analysis: Analyzes steady-state cellular behavior using stoichiometric matrices that represent biochemical reactions and their interactions in metabolic networks.
• Automatic Inconsistency Detection: Automates detection of connectivity and topological inconsistencies within a given stoichiometric matrix S.
• Constraint-Based Optimization Validation: Flags problems encountered during constraint-based optimization and checks adherence to defined flux constraints.
• Null Space Basis Examination: Evaluates the basis for the null space of Sv = 0 to identify stoichiometric balance inconsistencies.
• Connectivity Analysis: Assesses network connectivity to identify disconnected reactions and infeasible links within the metabolic network.
• Flux Variability Analysis (FVA): Utilizes FVA to detect issues in flux distributions and to highlight potential discrepancies in metabolic capabilities.
• Comprehensive Reporting: Generates detailed reports summarizing identified issues given a stoichiometric matrix and associated flux constraints.

Scientific Applications:

• Escherichia coli models: Applied to published E. coli metabolic models to identify inconsistencies and undocumented issues.
• Adipocyte models: Applied to adipocyte metabolic reconstructions to detect model errors and inconsistencies.
• Chinese Hamster Ovary (CHO) cell models: Applied to CHO cell models to reveal connectivity and constraint-related issues.
• Leishmania major models: Applied to Leishmania major metabolic models to uncover undocumented problems.

Methodology:

Performs null-space basis examination of Sv = 0, connectivity analysis, and Flux Variability Analysis (FVA), implemented as a MATLAB-based computational tool.