Snoopy's hybrid simulator: a tool to construct and simulate hybrid biological models

Area of Science:

• Computational Biology
• Biochemical Engineering
• Systems Biology

Background:

• Hybrid simulation is crucial for analyzing complex, multi-scale biochemical reaction networks with fast and slow dynamics.
• Existing software tools for hybrid simulation are limited in scope and functionality.
• Accurate analysis of biochemical models requires methods that handle both deterministic and stochastic processes.

Purpose of the Study:

• To introduce Snoopy's hybrid simulator, a novel software tool for efficient and accurate hybrid simulation of biochemical networks.
• To provide a user-friendly platform for constructing and simulating hybrid computational models.

Main Methods:

• The simulator is built upon Snoopy, a tool for constructing and simulating Petri nets.
• It supports hybrid simulation algorithms for models represented as (coloured) hybrid Petri nets.
• Models can be created graphically or imported from formats like SBML.

Main Results:

• Snoopy's hybrid simulator offers a wide range of state-of-the-art hybrid simulation algorithms.
• It enables dynamic or static hybrid simulation of biochemical network models.
• The software facilitates efficient and accurate analysis of complex biological systems.

Conclusions:

• Snoopy's hybrid simulator is a platform-independent tool for accurate and efficient simulation of hybrid biological models.
• It addresses the limitations of existing software in hybrid simulation.
• The tool is freely available for download as part of the Snoopy software.