BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling.

ABSTRACT: Systems biologists aim to decipher the structure and dynamics of signaling and regulatory networks underpinning cellular responses; synthetic biologists can use this insight to alter existing networks or engineer de novo ones. Both tasks will benefit from an understanding of which structural and dynamic features of networks can emerge from evolutionary processes, through which intermediary steps these arise, and whether they embody general design principles. As natural evolution at the level of network dynamics is difficult to study, in silico evolution of network models can provide important insights. However, current tools used for in silico evolution of network dynamics are limited to ad hoc computer simulations and models. Here we introduce BioJazz, an extendable, user-friendly tool fo

SUBMITTER: Feng S 

PROVIDER: S-EPMC4627059 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature