Reverse Engineering of Metabolic Pathways from Observed Data Using Genetic Programming

@article{Koza2001ReverseEO,
  title={Reverse Engineering of Metabolic Pathways from Observed Data Using Genetic Programming},
  author={John R. Koza and William Mydlowec and Guido Lanza and Jessen Yu and Martin A. Keane},
  journal={Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
  year={2001},
  pages={434-45}
}
Recent work has demonstrated that genetic programming is capable of automatically creating complex networks (such as analog electrical circuits and controllers) whose behavior is modeled by linear and non-linear continuous-time differential equations and whose behavior matches prespecified output values. The concentrations of substances participating in networks of chemical reactions are also modeled by non-linear continuous-time differential equations. This paper demonstrates that it is… CONTINUE READING
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