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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Tobias Pietzsch - , Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden (CSBD) (Author)
  • Lorenzo Duso - , Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden (CSBD) (Author)
  • Christoph Zechner - , Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden (CSBD), TUD Dresden University of Technology, Clusters of Excellence PoL: Physics of Life (Author)

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.

Details

Original languageEnglish
Pages (from-to)2782-2784
Number of pages3
JournalBioinformatics
Volume37
Issue number17
Publication statusPublished - 1 Sept 2021
Peer-reviewedYes

External IDs

PubMed 33538766