The goal of this paper is to report on the performance of a promising dynamic framework based on the cybernetic concepts which have evolved over three decades. We present case studies of successful dynamic simulations of wild-type strains as well as specific KO mutants on bacteria and yeast. An extensive metabolic engineering effort, including genome scale networks, is called for to secure the methodology and realize its full potential. Towards this end, the software AUMIC is under active further development to enable speedy applications. Its wide use will be enabled by a publication that is shortly due.
Revised: January 13, 2017 |
Published: January 1, 2016
Citation
Ramkrishna D., and H. Song. 2016.Analysis of Bioprocesses. Dynamic Modeling is a Must. In International Conference on Advances in Bioprocess Engineering and Technology (ICABET 2016), March 11-13, 2016, Hyderabad, India. Materials Today: Proceedings, edited by D Ramkrishna and S Sengupta, 3, 3587-3599.PNNL-SA-115407.doi:10.1016/j.matpr.2016.10.040