MSI

MSI simulates multiscale immune responses to vaccination using agent-based modeling that incorporates realistic biophysics and intracellular dynamics.

Key Features:

• Agent-Based Modeling: MSI employs agent-based modeling to represent individual cellular behaviors and interactions within immune responses.
• Modular Architecture: The framework uses a modular architecture that enables flexible configuration of components and initialization of parameters across processes.
• Object-Oriented Implementation: Implemented in C++ and Python using object-oriented principles to enhance flexibility and extensibility.
• Realistic Biophysics and Intracellular Dynamics: Incorporates realistic biophysical models and intracellular dynamics to represent molecular- and cellular-level processes.
• Multiscale Temporal and Spatial Modeling: Supports simulation across multiple temporal and spatial scales relevant to immunological processes.
• High-Performance Computing: Designed to maintain high performance for computationally intensive simulations of complex biological systems.

Scientific Applications:

• Early Immune Response to Vaccination: Modeling early immune responses to vaccination, including cellular interactions after immunization.
• Predictive Immune Behavior Modeling: Enabling prediction of immune dynamics to inform and guide experimental design.
• Multiscale Investigation of Immune Interactions: Investigating interactions from molecular to cellular scales within the immune system.

Methodology:

Agent-based simulation implemented in C++ and Python with object-oriented design and a modular architecture, incorporating realistic biophysical models and intracellular dynamics to enable high-performance multiscale simulations.