Note the allusion to industrial applications involving Cyanobacteria:
Many modelers had been focusing on metabolism, Karr said,
and this paper showed that other physiological processes could also be
included, "and that once you put it all together, you can generate much
more quantitative predictions that you can if you just focus on one
physiological process at a time," he said.
also, he said, laid out a new scheme for developing a dynamic model that
didn't rely solely on flux balance analysis, but could also include
other mathematical representations like differential equations.
now, we're coming back and trying to use that same framework, but apply
it to a much larger system, and much more data," Karr said.
the next few years, Karr said that more people would likely adopt
methods like theirs to model more bacteria, especially ones with
industrial applications like Escherichia coli or cyanobacteria.
in the years after that he said that's when people would start to use
models to engineer bacteria — as long as the cost of genome synthesis
The paper in Cell is
A Whole-Cell Computational Model Predicts Phenotype from Genotype