Crabtree Effect and Ethanol Inhibition: Haldane Kinetics Modeling for W303

Based on the SwarmLabs virtual experiment engine, this study conducts a cross-analysis of the biology scenario for Saccharomyces cerevisiae CEN.PK in the Biomass Yeast Peptone Glycerol (Pichia pre-culture) medium. The scenario employs an unknown kinetic model, utilizing a GP surrogate model and active learning strategies to extract the optimal parameter combination from the minimum number of experiments.

Experimental scenario: Ethanol inhibition in Saccharomyces cerevisiae

This scenario simulates the growth behavior of Saccharomyces cerevisiae CEN.PK in Biomass Yeast Peptone Glycerol (Pichia pre-culture). The core model employs unspecified kinetics, with key parameters including the specific growth rate μ_max, half-saturation constant Ks, and others.

Strain Profile: Saccharomyces cerevisiae CEN.PK

Saccharomyces cerevisiae CEN.PK is a commonly used model strain in biological research.

Medium formulation: Biomass Yeast Peptone Glycerol (Pichia pre-culture)

Biomass Yeast Peptone Glycerol (Pichia pre-culture) is the standard culture medium for Saccharomyces cerevisiae CEN.PK.

Cross-analysis: Biological Dynamics of Saccharomyces cerevisiae CEN.PK × Biomass Yeast Peptone Glycerol (Pichia pre-culture)

Combining the genomic features of Saccharomyces cerevisiae CEN.PK (Phylum: Ascomycota) with the nutritional composition of Biomass Yeast Peptone Glycerol (Pichia pre-culture) enables accurate prediction of growth curves in biological scenarios within a virtual environment. This combination spans the complete parameter space, ranging from a maximum specific growth rate of 0.44 to a half-saturation constant of 0.02.

Recommended Parameters for Virtual Experiments

Based on the combination of this scenario, strain, and culture medium, the SwarmLabs virtual experiment engine can automatically execute the following workflow:

• Fit the dynamics curve of the unknown system using a GP surrogate model (noise_var=0.03²).
• Reduced from 16 runs of full factorial experiments to ~12 using the active learning strategy.
• VirtualLab Guard Three-state validation gate: Regions with prediction confidence below the threshold are automatically marked as "verification required".
• Output the fitted curve with uncertainty intervals, R² expected > 0.95 (benchmarking against Monod 1949)

From Literature to Virtual Experiments: Crabtree Effect and Ethanol Inhibition: Haldane Kinetic Modeling for W303

Through the SwarmLabs virtual experiment engine, researchers can rapidly evaluate the biological kinetic behavior of Saccharomyces cerevisiae CEN.PK in Biomass Yeast Peptone Glycerol (Pichia pre-culture) medium without conducting actual wet-lab experiments. This "data-driven research" model compresses traditional R&D cycles that would typically take weeks into just a few hours, providing a novel technical pathway for microbiology research and industrial fermentation optimization.