title: The role of predictive modelling in rationally re-engineering biological systems.
abstract: Technologies to synthesize and transplant a complete genome into a cell have opened limitless potential to redesign organisms for complex, specialized tasks. However, large-scale re-engineering of a biological circuit will require systems-level optimization that will come from a deep understanding of operational relationships among all the constituent parts of a cell. The integrated framework necessary for conducting such complex bioengineering requires the convergence of systems and synthetic biology. Here, we review the status of these rapidly developing interdisciplinary fields of biology and provide a perspective on plausible venues for their merger.
authors.affiliation: Institute for Systems Biology, 1441 N 34th Street, Seattle, Washington 98103, USA.
authors.forename: Tie
authors.initials: T
authors.lastname: Koide
authors.forename: Wyming Lee
authors.initials: WL
authors.lastname: Pang
authors.forename: Nitin S
authors.initials: NS
authors.lastname: Baliga
mesh_terms: D001709:Biotechnology / Q000379:methods*; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*