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Report abuseTools for data generation and data analysis for the eLife research article - "The solubility product extends the buffering concept to heterotypic biomolecular condensates"
Python 2
Multi-condensate state as a functional strategy to optimize the cell signaling output
Jupyter Notebook 2
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".
Jupyter Notebook 1
A Python package to analyze multivalent biomolecular clusters.
Simulation scripts used in the study "Separation of sticker-spacer energetics governs the coalescence of metastable biomolecular condensates"
Jupyter Notebook 1
Simulations used in "Biomolecular phase boundaries are described by a solubility product that accounts for variable stoichiometry and soluble oligomers"
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