A hybrid machine learning and enzyme-constrained metabolic model for ab initio prediction of proteome reallocation
High expression of heterologous proteins in microbial cell factories frequently triggers a severe burden due to reallocation of finite cellular proteome. Conventional constraint-based models struggle to predict these resource shifts ab initio without relying on condition-specific omics data. To bridge this gap, we deve...