SBMLsqueezer: a CellDesigner plug-in to generate kinetic rate equations for biochemical networks.
BACKGROUND
The 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.


RESULTS
SBMLsqueezer 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.


CONCLUSIONS
SBMLsqueezer 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).
Dräger
Andreas
A
Center for Bioinformatics Tübingen (ZBIT), University of Tübingen, Sand 1, 72076 Tübingen, Germany. andreas.draeger@uni-tuebingen.de
Hassis
Nadine
N
Supper
Jochen
J
Schröder
Adrian
A
Zell
Andreas
A
D000465:Algorithms; D002625:Chemistry, Organic / Q000379:methods*; D003628:Database Management Systems; D053263:Gene Regulatory Networks; D019146:Hypermedia; D016247:Information Storage and Retrieval / Q000379:methods; D007700:Kinetics; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008956:Models, Chemical; D025941:Protein Interaction Mapping / Q000379:methods; D015398:Signal Transduction; D049490:Systems Biology / Q000379:methods; D014584:User-Computer Interface