Journal article
A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout
Kauthar Mohd Daud, Mohd Saberi Mohamad, Zalmiyah Zakaria, Rohayanti Hassan, Zuraini Ali Shah, Safaai Deris, Zuwairie Ibrahim, Suhaimi Napis, Richard O Sinnott
Computers in Biology and Medicine | Elsevier | Published : 2019
Abstract
Metabolic engineering is defined as improving the cellular activities of an organism by manipulating the metabolic, signal or regulatory network. In silico reaction knockout simulation is one of the techniques applied to analyse the effects of genetic perturbations on metabolite production. Many methods consider growth coupling as the objective function, whereby it searches for mutants that maximise the growth and production rate. However, the final goal is to increase the production rate. Furthermore, they produce one single solution, though in reality, cells do not focus on one objective and they need to consider various different competing objectives. In this work, a method, termed ndsDS..
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Awarded by Ministry of Education Malaysia
Funding Acknowledgements
This research was funded by Fundamental Research Grant Scheme Malaysia's Research Star Award (FRGS-MRSA) from Ministry of Education Malaysia. We also would like to thank the Ministry of Education Malaysia for supporting this research by the Fundamental Research Grant Schemes (grant number: RDU190113 and R.J130000.7828.4F720).