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Python scripts to analyze and visualize the data presented in the research article: "The maximum solubility product marks the threshold for condensation of multivalent biomolecules".

Home Page: https://www.cell.com/biophysj/pdf/S0006-3495(23)00209-6.pdf

License: MIT License

Jupyter Notebook 80.42% Python 19.26% Shell 0.32%
biomolecular-condensates molecular-simulation phase-transition python llps bionetgen data-analysis-python data-visualisation langevin-dynamics multivalent-clustering

maximal_solubility_product's Introduction

maximal_Solubility_product

Method section of the Biophysical Journal Paper - "The maximum solubility product marks the threshold for condensation of multivalent biomolecules".

We perform stochastic rule based simulations using two solvers - SpringSaLaD and NFsim. We perform multiple stochastic trials and analyze them to get average properties of the system.

  • We define the springsalad model using the in-built graphical interface and then launch multiple simulations using the batch file called "submit_ssalad.sh". The data analysis part is summarized by "ssalad_analysis.ipynb" inside the springsalad folder.
  • We define the NFsim model using the Virtual Cell graphical interface and then launch multiple simulations using the batch file called "submit_nfsim.sh". The data analysis part is summarized by "NFsim_analysis.ipynb" inside the NFsim folder.

To use the code, simply clone the repository to your local machine.

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