Designing synthetic networks in silico: a generalised evolutionary algorithm approach.

ABSTRACT:

Background

Evolution has led to the development of biological networks that are shaped by environmental signals. Elucidating, understanding and then reconstructing important network motifs is one of the principal aims of Systems & Synthetic Biology. Consequently, previous research has focused on finding optimal network structures and reaction rates that respond to pulses or produce stable oscillations. In this work we present a generalised in silico evolutionary algorithm that simultaneously finds network structures and reaction rates (genotypes) that can satisfy multiple defined objectives (phenotypes).

Results

The key step to our approach is to translate a schema/binary-based description of biological networks into systems of ordinary differential equations (ODEs). The ODE

SUBMITTER: Smith RW 

PROVIDER: S-EPMC5712201 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature