Data and models repository for the paper "A chemical reaction network model of PURE," along with additional simulations and validation experiments. The folder contains all Python scripts used to simulate protein expression and plot figures seen in the paper "A chemical reaction network model of PURE" by Zoila Jurado, Ayush Pandey, and Richard M. Murray. Additionally, all simulation runs and experimental results are included.
- Run
pip install -r requirements.txt
from your terminal.
Or, if you prefer to install everything manually, you can:
- Install biocrnpyler:
pip install biocrnpyler>=1.1.1
- Install bioscrape:
pip install bioscrape>=1.2.0
- If Step 2 fails, you can clone the Bioscrape repository and manually install the package. Run
python setup.py install
to install bioscrape once you meet all the installation requirements. - Install seaborn, holoviz, corner, svglib, scikit-learn, bokeh-catplot, openpyxl, bokeh, jupyter_bokeh ==2.0.0, and panel==0.13.1
We use BioCRNpyler to generate chemical reaction network models to building a transcription (TX) and translation (TL) model for cell-free protein synthesis using PURE. The generation of all models are in the modeling/
directory in this repository.
Scripts and results for the parameter inferencing for the TX-only model on MGapt expression is under the Inferencing_MGapt
directory.
All calibration data used of this repository is available under the Data_files
directory. Additional calibration data use can be found under the 'Calibration_MGapt','Calibration_MGapt' directory. The plasmids used in this paper are available from myTXTL T7 Expression Kit.
All simulations from the model are available under the Simulation_results
directory in folders corresponding with model run. Subfolder Nuclues_Simulations
contains, specific simulations around the separation of transcription and translation under different nucleus conditions.
All generated SBML models are available in the Models
directory.
All scripts used to build model and plotting are located in the main folder.
The PURE CRN model is based on Matsuura 2017. For more details, see PURE simulatator.
Contact Zoila Jurado if you have any questions.