Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological...

Area of Science:

• Computational Biology
• Biophysics
• Biochemistry

Background:

• Agent-based models (ABM) are crucial for simulating complex biological systems.
• Molecular dynamics (MD) simulations offer high accuracy but can be computationally intensive.
• Integrating ABM with MD presents challenges in computational efficiency.

Purpose of the Study:

• To present a protocol for adapting agent-based models with molecular dynamics for global approach simulations.
• To enhance simulation speed significantly while preserving the accuracy of the original ABM.
• To offer two distinct implementation options for the global approach based on spatial variability needs.

Main Methods:

• Implementing a global approach for molecular dynamics within an agent-based modeling framework.
• Coarse-graining molecular dynamics in space by segmenting the microenvironment into regions.
• Defining uniform molecular concentrations within these defined spatial regions.

Main Results:

• Achieved significant acceleration of simulations compared to traditional ABM with MD.
• Maintained high levels of accuracy comparable to the original ABM.
• Provided two adaptable methods for implementing the global approach.

Conclusions:

• The developed protocol enables efficient and accurate molecular dynamics simulations within agent-based models.
• The global approach offers a viable strategy for large-scale biological simulations.
• The choice between the two options depends on the specific requirements for spatial molecular concentration variability.