Learn More
We have constructed a computational platform suitable for examining emergence of shape homeostasis in simple three-dimensional cellular systems. An embryo phenotype results from a developmental process starting with a single cell and its genome. When coupled to an evolutionary search, this platform can evolve embryos with particular stable shapes and high(More)
Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim) coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim is capable of developing a virtual tissue with higher order properties. Using primitives based on cell signaling, gene networks, cell division, growth,(More)
To help us understand the nature of information processing in living systems, biology needs a new theoretical framework that is amenable to computational approaches. Recent progress in cell and molecular biology has made it clear that the “central dogma” (DNA RNA protein) is an overly simplistic concept. The goals of this paper are: 1) to specify which(More)
Building effective computational models of living systemsrequires both a sound conceptual basis and an accurate scheme ofimplementation. Basic biological principles must be clearlyarticulated to capture their essential features or logic but notreach beyond legitimate bounds. This paper analyzes therelationships among genotype, phenotype, and ontogeny,(More)
  • 1