Construction of an enzyme-constrained metabolic network model for myceliophthora thermophila using machine learning-based kcat data

HIGHLIGHTS

• What: This research shows the effectiveness of integrating of machine learning-based kcat data in the construction of ecGEMs especially in situations where there is limited measured enzyme kinetic parameters for a specific organism. To simulate this dynamic cellular responses, PhPP analysis was conducted to explore metabolic behavior . In this study, metabolic adjustment was simulated using ecMTM solving by pFBA to maximize biomass production with substrate uptake rates ranging from 0 to 5 mmol/ gDW/h. A comparative analysis was conducted to determine the order of substrate utilization.
• Who: Yutao Wang from the (UNIVERSITY) have . . .
  

   

  

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