SteadyCellPhenotype

SteadyCellPhenotype analyzes ternary biological networks to compute steady states and simulate deterministic and stochastic system dynamics for studying intracellular network behavior.

Key Features:

• Deterministic Analysis: Identifies all possible steady states within a ternary network using deterministic methods.
• Trajectory Simulation and Visualization: Simulates system trajectories from varied initial conditions and provides visualization of their temporal evolution.
• Stochastic Simulations: Performs stochastic simulations to approximate the sizes of basins associated with attractors.
• Local Dynamics Exploration: Deterministically simulates trajectories near specified points to examine local system behavior under perturbations.

Scientific Applications:

• Systems Biology: Supports analysis of intracellular network dynamics and stability in systems biology studies.
• Gene Regulatory and Signaling Pathway Modeling: Facilitates modeling of gene regulatory networks and signaling pathways represented as ternary (three-state) nodes.
• Cellular Response and Disease Modeling: Enables investigation of cellular response mechanisms and dynamics relevant to disease progression models.

Methodology:

Integrates computational algorithms to process ternary networks (three-state nodes) using deterministic methods to compute steady states and simulate trajectories, and stochastic approaches to approximate basin sizes of attractors.