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MathSBML: a Package for Manipulating SBML-based Biological Models

Overview
Journal Bioinformatics
Specialty Biology
Date 2004 Apr 17
PMID 15087311
Citations 20
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Abstract

Unlabelled: MathSBML is a Mathematica package designed for manipulating Systems Biology Markup Language (SBML) models. It converts SBML models into Mathematica data structures and provides a platform for manipulating and evaluating these models. Once a model is read by MathSBML, it is fully compatible with standard Mathematica functions such as NDSolve (a differential-algebraic equations solver). MathSBML also provides an application programming interface for viewing, manipulating, running numerical simulations; exporting SBML models; and converting SBML models in to other formats, such as XPP, HTML and FORTRAN. By accessing the full breadth of Mathematica functionality, MathSBML is fully extensible to SBML models of any size or complexity.

Availability: Open Source (LGPL) at http://www.sbml.org and http://www.sf.net/projects/sbml

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References
1.
Elowitz M, Leibler S . A synthetic oscillatory network of transcriptional regulators. Nature. 2000; 403(6767):335-8. DOI: 10.1038/35002125. View

2.
Kholodenko B . Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades. Eur J Biochem. 2000; 267(6):1583-8. DOI: 10.1046/j.1432-1327.2000.01197.x. View

3.
Tyson J . Modeling the cell division cycle: cdc2 and cyclin interactions. Proc Natl Acad Sci U S A. 1991; 88(16):7328-32. PMC: 52288. DOI: 10.1073/pnas.88.16.7328. View

4.
Shapiro B, Levchenko A, Meyerowitz E, Wold B, Mjolsness E . Cellerator: extending a computer algebra system to include biochemical arrows for signal transduction simulations. Bioinformatics. 2003; 19(5):677-8. DOI: 10.1093/bioinformatics/btg042. View

5.
Finney A, Hucka M . Systems biology markup language: Level 2 and beyond. Biochem Soc Trans. 2003; 31(Pt 6):1472-3. DOI: 10.1042/bst0311472. View