Visinets

Visinets implements causal mapping (CMAP) to perform pathway modeling and dynamic simulation of biological networks for analysis and validation of signaling and metabolic processes.

Key Features:

• Causal Mapping (CMAP) Implementation: Implements the causal mapping (CMAP) mathematical approach for representation and analysis of biological interactions.
• Pathway Modeling and Executable Models: Creates executable models of biological pathways from biological data for simulation.
• ODE-to-CMAP Translation: Translates ordinary differential equation (ODE)–based models into CMAP formalism for comparative analysis and validation.
• Dynamic and Real-time Simulation: Performs dynamic simulations with computational efficiency suitable for real-time execution of pathway models.

Scientific Applications:

• Signal Transduction Modeling: Modeling of signal transduction pathways, including the EGFR-MAPK pathway, to analyze pathway dynamics.
• Metabolic Network Analysis: Analysis and simulation of metabolic networks to investigate interactions and dynamic behavior.
• Comparative Model Validation: Comparative analysis and validation of models via translation between ODE and CMAP formalisms.
• Disease Mechanism and Target Exploration: Investigation of cellular processes to generate insights into disease mechanisms and potential therapeutic targets.

Methodology:

Implements the causal mapping (CMAP) mathematical approach, supports translation of ordinary differential equation (ODE) models into CMAP formalism, and executes dynamic simulations of pathway models.