A practical guide to mechanistic systems modeling in biology using a logic-based approach.

Area of Science:

• Systems Biology
• Computational Biology
• Bioinformatics

Background:

• Mechanistic computational models are crucial for understanding complex biological regulatory networks.
• These models allow analysis of system dynamics, properties, and emergent behaviors under perturbations.
• Studying these systems computationally provides valuable insights into biological mechanisms.

Purpose of the Study:

• To present a practical, step-by-step protocol for mechanistic modeling of biological systems.
• To make computational modeling accessible to researchers new to the field.
• To demonstrate the protocol using a familiar biological system and accessible software tools.

Main Methods:

• A logical modeling framework with a lower mathematical barrier to entry was employed.
• User-friendly software tools, Cell Collective and GINsim, were utilized.
• The protocol covers defining model scope, validation criteria, modeling approach, construction, and simulation.

Main Results:

• A complete workflow for mechanistic modeling was successfully applied to the lac operon regulatory system.
• The protocol is designed for users with minimal prior computational modeling experience.
• The entire process can be completed in approximately 3 hours.

Conclusions:

• This protocol provides an accessible entry point into mechanistic computational modeling for biological systems.
• The use of logical modeling and user-friendly software lowers the barrier for new modelers.
• The lac operon case study demonstrates the protocol's practicality and effectiveness.