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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Tobias Pietzsch - , Max Planck Institute of Molecular Cell Biology and Genetics, Zentrum für Systembiologie Dresden (CSBD) (Autor:in)
  • Lorenzo Duso - , Max Planck Institute of Molecular Cell Biology and Genetics, Zentrum für Systembiologie Dresden (CSBD) (Autor:in)
  • Christoph Zechner - , Max Planck Institute of Molecular Cell Biology and Genetics, Zentrum für Systembiologie Dresden (CSBD), Technische Universität Dresden, Exzellenzcluster PoL: Physik des Lebens (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)2782-2784
Seitenumfang3
FachzeitschriftBioinformatics
Jahrgang37
Ausgabenummer17
PublikationsstatusVeröffentlicht - 1 Sept. 2021
Peer-Review-StatusJa

Externe IDs

PubMed 33538766