Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations

Author:

Pietzsch Tobias12,Duso Lorenzo12,Zechner Christoph123ORCID

Affiliation:

1. Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany

2. Center for Systems Biology Dresden, 01307 Dresden, Germany

3. Cluster of Excellence Physics of Life, TU Dresden, 01062 Dresden, Germany

Abstract

Abstract Summary Many biochemical processes in living organisms take place inside compartments that can interact with each other and remodel over time. In a recent work, we have shown how the stochastic dynamics of a compartmentalized biochemical system can be effectively studied using moment equations. With this technique, the time evolution of a compartment population is summarized using a finite number of ordinary differential equations, which can be analyzed very efficiently. However, the derivation of moment equations by hand can become time-consuming for systems comprising multiple reactants and interactions. Here we present Compartor, a toolbox that automatically generates the moment equations associated with a user-defined compartmentalized system. Through the moment equation method, Compartor renders the analysis of stochastic population models accessible to a broader scientific community. Availability and implementation Compartor is provided as a Python package and is available at https://pypi.org/project/compartor/. Source code and usage tutorials for Compartor are available at https://github.com/zechnerlab/Compartor.

Funder

German Federal Ministry of Education and Research [BMBF

competence center for Big Data ScaDS2 project and the core funding of the Max Planck Institute of Molecular Cell Biology and Genetics

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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