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figures/figures_paper/Coefficient_LM_Analysis.drawio

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figures/figures_paper/pathwayA_process_variables.svg

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figures/figures_paper/pathwayA_processvariables_lettered.drawio

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models/bioprocess_models/batch_model_pathwayA.xml

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<sbml xmlns="http://www.sbml.org/sbml/level2/version4" level="2" version="4">
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<model>
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<listOfCompartments>
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<compartment id="e" spatialDimensions="3" size="1" constant="true"/>
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<compartment id="c" spatialDimensions="3" size="1" constant="true"/>
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<compartment id="e" spatialDimensions="3" size="1" constant="true"/>
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</listOfCompartments>
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<listOfSpecies>
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<species id="e_gluc" compartment="e" initialAmount="3.33" substanceUnits="mole" hasOnlySubstanceUnits="false" boundaryCondition="false" constant="false"/>

models/bioprocess_models/batch_model_pathwayB.xml

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<sbml xmlns="http://www.sbml.org/sbml/level2/version4" level="2" version="4">
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<model>
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<listOfCompartments>
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<compartment id="c" spatialDimensions="3" size="1" constant="true"/>
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<compartment id="e" spatialDimensions="3" size="1" constant="true"/>
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<compartment id="c" spatialDimensions="3" size="1" constant="true"/>
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</listOfCompartments>
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<listOfSpecies>
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<species id="e_gluc" compartment="e" initialAmount="3.33" substanceUnits="mole" hasOnlySubstanceUnits="false" boundaryCondition="false" constant="false"/>

scripts/ChassisConfig(NOTTESTEDYET).py

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"""
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This script was GPT-generated
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config_builder.py
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-----------------
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This script helps a user build a configuration YAML file for optimization experiments.
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python config_builder.py --target product_A --output_dir ./configs/ --n_cycles 5
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All key variables are annotated below so a new user can understand what each parameter means.
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"""
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import argparse

scripts/analysis/analysis_experiments.ipynb

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