Theoretical description of metabolism using queueing theory

Area of Science:

• Biochemistry
• Theoretical Biology
• Systems Biology

Background:

• Metabolism is a complex biological process.
• Existing models may not fully capture the probabilistic nature of metabolic events.

Purpose of the Study:

• To develop a theoretical description of metabolism using queueing theory.
• To analyze the effectiveness of metabolic processes based on probabilistic models.

Main Methods:

• Application of the Pachinko model and queueing theory.
• Probabilistic analysis of metabolic events.
• Modeling substrate flow using Poisson distribution.
• Analysis of simple metabolic complex models (short- and long-living).

Main Results:

• A theoretical framework for metabolism based on probabilistic principles was established.
• The effectiveness of metabolism was analyzed through output metabolite flow.
• Two basic models of metabolic complexes were evaluated.

Conclusions:

• Queueing theory provides a unified probabilistic perspective for describing a wide range of metabolic events.
• This approach offers a new theoretical lens for understanding metabolic dynamics.