Literature DB >> 19623245

STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python.

Stefan Wils1, Erik De Schutter.   

Abstract

We describe how the use of the Python language improved the user interface of the program STEPS. STEPS is a simulation platform for modeling and stochastic simulation of coupled reaction-diffusion systems with complex 3-dimensional boundary conditions. Setting up such models is a complicated process that consists of many phases. Initial versions of STEPS relied on a static input format that did not cleanly separate these phases, limiting modelers in how they could control the simulation and becoming increasingly complex as new features and new simulation algorithms were added. We solved all of these problems by tightly integrating STEPS with Python, using SWIG to expose our existing simulation code.

Entities:  

Keywords:  3D diffusion; Python; reaction kinetics; scripting; signaling pathway; simulator; software

Year:  2009        PMID: 19623245      PMCID: PMC2706651          DOI: 10.3389/neuro.11.015.2009

Source DB:  PubMed          Journal:  Front Neuroinform        ISSN: 1662-5196            Impact factor:   4.081


  22 in total

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  34 in total

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4.  Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.

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10.  Reproducibility in Computational Neuroscience Models and Simulations.

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