Toward unbiased objective functions in constraint-based modeling
Övrig text i vetenskaplig tidskrift, 2026
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.
artificial intelligence
constraint-based model
objective function
Författare
Weihang Dong
Shenyang University of Chemical Technology
Shenzhen Institute of Advanced Technology
Jens B Nielsen
BioInnovation Institute
Chalmers, Life sciences, Systembiologi
Haiyan Li
Shenyang University of Chemical Technology
Feiran Li
Tsinghua University
Yu Chen
Shenzhen Institute of Advanced Technology
Trends in Biotechnology
0167-7799 (ISSN) 18793096 (eISSN)
Vol. In PressÄmneskategorier (SSIF 2025)
Klinisk medicin
Data- och informationsvetenskap (Datateknik)
DOI
10.1016/j.tibtech.2026.01.004