Welcome to SBMLevolver

Artificial evolution of biological network models
SBMLevolver is an open-source software project that aims at evolving dynamic models of biological networks (represented in SBML). The algorithm is supposed to be used to fill in the unknown parts of partially characterised models, as well as to design novel biological computing devices with pre-specified functionality. The software has been developed and implemented at the Friedrich-Schiller-University Jena, as part of the ESIGNET project.
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The ESIGNET project (Evolving Cell Signaling Networks in Silico) is a Specific Targeted Research Project funded by the European Commission under the Sixth Framework Programme
The overall goal of the ESIGNET project is to study the computational properties of cell signalling networks (CSN) by theoretical analysis and evolutionary computation methods, and to re-apply this understanding in developing new ways to model and predict real CSNs.