PySCeSToolbox
PySCeSToolbox: Metabolic pathway analysis and control modeling suite
PySCeSToolbox performs quantitative analysis of metabolic networks by integrating generalized supply-demand analysis, Symbolic Metabolic Control Analysis (SMCA), and kinetic and thermodynamic modeling of enzyme-catalyzed reactions.
Key Features:
- Generalized Supply-Demand Analysis: Quantifies effects of substrate and product availability on metabolic network behavior and system-level flux distributions.
- Symbolic Metabolic Control Analysis (SMCA): Computes symbolic control coefficients to evaluate enzyme contributions to pathway flux and metabolite concentrations.
- Kinetic and Thermodynamic Framework: Models reaction rates and equilibrium constraints to analyze enzyme kinetics and thermodynamic feasibility within metabolic pathways.
Scientific Applications:
- Metabolic Regulation Analysis: Investigates regulatory mechanisms, predicts cellular responses under varying conditions, and characterizes systemic behavior in systems biology and bioinformatics studies.
Methodology:
Integrates generalized supply-demand analysis, Symbolic Metabolic Control Analysis, and kinetic and thermodynamic modeling to enable comprehensive simulation, control analysis, and systems-level interpretation of metabolic networks.
Topics
Details
- License:
- BSD-3-Clause
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 6/20/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Christensen CD, Hofmeyr JS, Rohwer JM. PySCeSToolbox: a collection of metabolic pathway analysis tools. Bioinformatics. 2017;34(1):124-125. doi:10.1093/bioinformatics/btx567. PMID:28968872.