ArticleBMC systems biology2008
SBMLsqueezer: a CellDesigner plug-in to generate kinetic rate equations for biochemical networks.
Article in BMC systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- SBMLKinetics: a tool for annotation-independent classification of reaction kinetics for SBML models.BMC bioinformatics · 2023Article
- Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling network.PeerJ · 2022Article
- Parameter balancing: consistent parameter sets for kinetic metabolic models.Bioinformatics (Oxford, England) · 2019Article
- Modeling of the jasmonate signaling pathway in Arabidopsis thaliana with respect to pathophysiology of Alternaria blight in Brassica.Scientific reports · 2017Article
- Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2017Article
- ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis.PloS one · 2016Article
- SBMLsqueezer 2: context-sensitive creation of kinetic equations in biochemical networks.BMC systems biology · 2015Article
- Improving collaboration by standardization efforts in systems biology.Frontiers in bioengineering and biotechnology · 2014Review
- Path2Models: large-scale generation of computational models from biochemical pathway maps.BMC systems biology · 2013Article
- The systems biology simulation core algorithm.BMC systems biology · 2013Article
- Precise generation of systems biology models from KEGG pathways.BMC systems biology · 2013Article
- Systems modelling of NHEJ reveals the importance of redox regulation of Ku70/80 in the dynamics of dna damage foci.PloS one · 2013Article
- Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach.Bioinformation · 2013Article
- Controlled vocabularies and semantics in systems biology.Molecular systems biology · 2011Article
- KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats.Bioinformatics (Oxford, England) · 2011Article
- JSBML: a flexible Java library for working with SBML.Bioinformatics (Oxford, England) · 2011Article
- The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms.Briefings in bioinformatics · 2010Review
- KEGGconverter: a tool for the in-silico modelling of metabolic networks of the KEGG Pathways database.BMC bioinformatics · 2009Article
- Designing and encoding models for synthetic biology.Journal of the Royal Society, Interface · 2009Review
- Modeling of the bacterial mechanism of methicillin-resistance by a systems biology approach.PloS one · 2009Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe development of complex biochemical models has been facilitated through the standardization of machine-readable representations like SBML (Systems Biology Markup Language). This effort is accompanied by the ongoing development of the human-readable diagrammatic representation SBGN (Systems Biology Graphical Notation). The graphical SBML editor CellDesigner allows direct translation of SBGN into SBML, and vice versa. For the assignment of kinetic rate laws, however, this process is not straightforward, as it often requires manual assembly and specific knowledge of kinetic equations.
resultsSBMLsqueezer facilitates exactly this modeling step via automated equation generation, overcoming the highly error-prone and cumbersome process of manually assigning kinetic equations. For each reaction the kinetic equation is derived from the stoichiometry, the participating species (e.g., proteins, mRNA or simple molecules) as well as the regulatory relations (activation, inhibition or other modulations) of the SBGN diagram. Such information allows distinctions between, for example, translation, phosphorylation or state transitions. The types of kinetics considered are numerous, for instance generalized mass-action, Hill, convenience and several Michaelis-Menten-based kinetics, each including activation and inhibition. These kinetics allow SBMLsqueezer to cover metabolic, gene regulatory, signal transduction and mixed networks. Whenever multiple kinetics are applicable to one reaction, parameter settings allow for user-defined specifications. After invoking SBMLsqueezer, the kinetic formulas are generated and assigned to the model, which can then be simulated in CellDesigner or with external ODE solvers. Furthermore, the equations can be exported to SBML, LaTeX or plain text format.
conclusionSBMLsqueezer considers the annotation of all participating reactants, products and regulators when generating rate laws for reactions. Thus, for each reaction, only applicable kinetic formulas are considered. This modeling scheme creates kinetics in accordance with the diagrammatic representation. In contrast most previously published tools have relied on the stoichiometry and generic modulators of a reaction, thus ignoring and potentially conflicting with the information expressed through the process diagram. Additional material and the source code can be found at the project homepage (URL found in the Availability and requirements section).
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