PySCeS

PySCeS performs numerical analysis and simulation of biochemical reaction networks to investigate cellular system dynamics.

Key Features:

• Numerical analysis: Performs numerical analysis of dynamical systems representing cellular processes.
• Simulation of reaction networks: Simulates time-course behavior of biochemical reaction networks.
• Computer modeling: Supports computer modeling of cellular systems using Python-based scripts and modules.
• Sensitivity analysis: Enables sensitivity analyses to quantify parameter influence on model behavior.
• Parameter estimation: Provides functionality for parameter estimation studies.
• Extensibility: Allows extension via custom scripts and modules to modify or add functionality.
• License: Distributed under the GNU General Public License (GPL).

Scientific Applications:

• Biochemical network modeling: Modeling of biochemical networks to study reaction dynamics and steady states.
• Sensitivity studies: Assessing sensitivity of system outputs to parameter variations.
• Parameter estimation studies: Estimating model parameters to support quantitative analysis of cellular systems.
• Hypothesis exploration: Exploring hypotheses about cellular behavior and dynamic responses of reaction networks.

Methodology:

Numerical analysis and computer simulation of biochemical reaction networks, including sensitivity analysis and parameter estimation, with extensibility via custom scripts and modules.