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Published September 4, 2024 | Version 1.2
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Molecular simulations of the N-terminal domain of CPEB4

  • 1. University of Copenhagen

Description

This repository contains Python code, Jupyter Notebook, simulation trajectories, and data for reproducing the simulation results of the manuscript Kinetic stabilization of translation-repression condensates by a neuron-specific microexon

Layout

  • code_data_analyses.tar.bz2 contains:
    • analyses.ipynb Jupyter Notebook to analyze all the simulation data and generate plots
    • direct-coexistence/ Data and Python code related to multi-chain simulations of the CALVADOS model in slab geometry. Simulations are performed using openMM v7.5
    • multimers/ Data and Python code related to multi-chain simulations of multimer formation. Simulations are performed using openMM v7.5 and analysed using OVITO Basic v3.7

Python code and Jupyter notebook are also available on GitHub at https://github.com/KULL-Centre/_2023_Garcia-Cabau_CPEB4

Usage

To open the Notebooks, install Miniconda and make sure all required packages are installed by issuing the following terminal commands

    conda env create -f environment.yml
    source activate cpeb4
    jupyter-notebook

Files

code_data_analyses.zip

Files (1.3 GB)

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Additional details

Funding

InMIND – Intervention in Neurodegenerative disorders via Mechanistic INsight into liquid-like Droplets 101025063
European Commission