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Toward unbiased objective functions in constraint-based modeling
Weihang Dong1, Jens Nielsen2, Haiyan Li3
1College of Environmental and Safety Engineering, Shenyang University of Chemical Technology, Shenyang, China; State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Abstract:
The objective function is important to constraint-based modeling, but setting it has traditionally been subjective, limiting predictive accuracy. We expose the biases of commonly used objective functions and propose a paradigm shift toward unbiased objective functions powered by artificial intelligence, offering a promising avenue for metabolic engineering and biomedical applications.
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