Building Mathematical Models of Biological Systems with modelbase

Autor: Oliver Ebenhöh, Marvin van Aalst, Nima P. Saadat, Tim Nies, Anna Matuszyńska
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Open Research Software, Vol 6, Iss 1 (2018)
Druh dokumentu: article
ISSN: 2049-9647
DOI: 10.5334/jors.236
Popis: The modelbase package is a free expandable Python package for building and analysing dynamic mathematical models of biological systems. Originally it was designed for the simulation of metabolic systems, but it can be used for virtually any deterministic chemical processes. modelbase provides easy construction methods to define reactions and their rates. Based on the rates and stoichiometries, the system of differential equations is assembled automatically. modelbase minimises the constraints imposed on the user, allowing for easy and dynamic access to all variables, including derived ones, in a convenient manner. A simple incorporation of algebraic equations is, for example, convenient to study systems with rapid equilibrium or quasi steady-state approximations. Moreover, modelbase provides construction methods that automatically build all isotope-specific versions of a particular reaction, making it a convenient tool to analyse non-steady state isotope-labelling experiments. Funding statement: This work was financially supported by the Deutsche Forschungsgemeinschaft “Cluster of Excellence on Plant Sciences” CEPLAS (EXC 1028).
Databáze: Directory of Open Access Journals