RSSALib

RSSALib implements stochastic simulation of complex biochemical reactions using the rejection-based stochastic simulation algorithm (RSSA) to model stochastic dynamics, complex kinetics, and time delays.

Key Features:

• Rejection-Based Stochastic Simulation Algorithm (RSSA): Implements the rejection-based stochastic simulation algorithm (RSSA) for simulating stochastic biochemical reactions.
• Support for complex kinetics and time delays: Models reaction mechanisms with complex kinetic laws and explicit time delays.
• Stochasticity handling: Accounts for randomness in reaction occurrences and timings to capture molecular-level variability.
• Algorithmic performance improvements: Incorporates algorithmic enhancements to accelerate simulation of large-scale models.
• Java implementation: Provided as a Java-based library for integration into computational workflows.

Scientific Applications:

• Systems biology modeling: Investigating dynamics of biological processes where stochastic effects significantly influence behavior.
• Research applications: Exploring theoretical models, validating experimental data, and predicting behaviors of biochemical networks.

Methodology:

Simulations use the rejection-based stochastic simulation algorithm (RSSA) to sample stochastic reaction events and timings while supporting complex kinetic laws and explicit time delays.