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.

Compartor: A toolbox for the automatic generation of moment equations for dynamic compartment populations / Pietzsch, T.; Duso, L.; Zechner, C.. - In: BIOINFORMATICS. - ISSN 1367-4803. - 37:17(2021), pp. 2782-2784. [10.1093/bioinformatics/btab058]

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

Zechner C.
2021-01-01

Abstract

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.
2021
37
17
2782
2784
10.1093/bioinformatics/btab058
https://pubmed.ncbi.nlm.nih.gov/33538766/
Pietzsch, T.; Duso, L.; Zechner, C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/145836
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