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Dataset Information

RMBNToolbox: random models for biochemical networks.


ABSTRACT:

Background

There is an increasing interest to model biochemical and cell biological networks, as well as to the computational analysis of these models. The development of analysis methodologies and related software is rapid in the field. However, the number of available models is still relatively small and the model sizes remain limited. The lack of kinetic information is usually the limiting factor for the construction of detailed simulation models.

Results

We present a computational toolbox for generating random biochemical network models which mimic real biochemical networks. The toolbox is called Random Models for Biochemical Networks. The toolbox works in the Matlab environment, and it makes it possible to generate various network structures, stoichiometries, kinetic la

SUBMITTER: Aho T 

PROVIDER: S-EPMC1896132 | biostudies-literature | 2007 May

REPOSITORIES: biostudies-literature