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Published March 18, 2023 | Version 1.1
Software Open

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

  • 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
  • slab_trajectories.tar.bz2 simulation trajectories of multimer formation
  • multimers_trajectories.tar.bz2 direct-coexistence simulation trajectories

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

Files (37.2 GB)

Name Size Download all
md5:fb96cf5f2dafe6a3f7e6efdc404a6c12
109.5 MB Download
md5:ffcdbc40b26cb7ea8df23ee8efdbab4e
13.3 GB Download
md5:dbea0acaa9c2891f73917bbf06ca7f5d
23.8 GB Download

Additional details

Funding

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