Literature DB >> 29857031

A portable structural analysis library for reaction networks.

Yosef Bedaso1, Frank T Bergmann2, Kiri Choi3, Kyle Medley4, Herbert M Sauro5.   

Abstract

The topology of a reaction network can have a significant influence on the network's dynamical properties. Such influences can include constraints on network flows and concentration changes or more insidiously result in the emergence of feedback loops. These effects are due entirely to mass constraints imposed by the network configuration and are important considerations before any dynamical analysis is made. Most established simulation software tools usually carry out some kind of structural analysis of a network before any attempt is made at dynamic simulation. In this paper, we describe a portable software library, libStructural, that can carry out a variety of popular structural analyses that includes conservation analysis, flux dependency analysis and enumerating elementary modes. The library employs robust algorithms that allow it to be used on large networks with more than a two thousand nodes. The library accepts either a raw or fully labeled stoichiometry matrix or models written in SBML format. The software is written in standard C/C++ and comes with extensive on-line documentation and a test suite. The software is available for Windows, Mac OS X, and can be compiled easily on any Linux operating system. A language binding for Python is also available through the pip package manager making it simple to install on any standard Python distribution. The bulk of the source code is licensed under the open source BSD license with other parts using as either the MIT license or more simply public domain. All source is available on GitHub (https://github.com/sys-bio/Libstructural).
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Simulation; Software; Structural analysis; Systems biology

Mesh:

Year:  2018        PMID: 29857031      PMCID: PMC6051435          DOI: 10.1016/j.biosystems.2018.05.008

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  25 in total

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9.  PFA toolbox: a MATLAB tool for Metabolic Flux Analysis.

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  3 in total

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2.  Tellurium: An extensible python-based modeling environment for systems and synthetic biology.

Authors:  Kiri Choi; J Kyle Medley; Matthias König; Kaylene Stocking; Lucian Smith; Stanley Gu; Herbert M Sauro
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3.  In Silico Prediction of Metabolic Fluxes in Cancer Cells with Altered S-adenosylmethionine Decarboxylase Activity.

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