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This repo contains python scripts used in Mack et al. 2022 (doi.org/10.1016/j.jmb.2022.167482). This includes MD simulations code and analysis scripts. The usage of these Python scripts is further explained in the enclosed README.pdf

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MD-simulation-DNMT3A

About 🧬

Python scripts used for the Molecular Dynamics Simulation presented in "Preferential interaction of DNMT3A subunits containing the R882H cancer mutation leads to dominant changes of flanking sequence effects", doi.org/10.1016/j.jmb.2022.167482.

For the underlying MD data in the publication go to doi.org/10.18419/darus-2463.

Installation 🚀

The MD simulation production and analysis scripts were designed for ubuntu based NVIDIA GPU servers using the cuda toolkit (Version 12). Visit

https://developer.nvidia.com/cuda-12-0-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=20.04&target_type=deb_local

for installation instructions.

After installation, check for the correct set up by running

nvidia-smi

in your terminal.

The output should state the CUDA Version and driver version as displayed below

Example output from nvidia-smi

Best way to install packages is by using conda. Either install the full anaconda distribution (https://www.anaconda.com/) or the smaller footprint miniconda (https://docs.conda.io/en/latest/miniconda.html).

create a new conda environment (here named 'sim') by running

conde create -n sim

install the necessary packages by running

conda install conda-forge::openmm
conda install conda-forge::mdtraj
conda install conda-forge::pdbfixer
conda install -c conda-forge contact_map
conda install anaconda::openpyxl

Citation 📑

For the underlying MD data in the publication go to doi.org/10.18419/darus-3263.

Please cite doi.org/10.18419/darus-2463 for the usage of this dataset.

Please cite doi.org/10.1016/j.jmb.2022.167482 for the publication.

About

This repo contains python scripts used in Mack et al. 2022 (doi.org/10.1016/j.jmb.2022.167482). This includes MD simulations code and analysis scripts. The usage of these Python scripts is further explained in the enclosed README.pdf

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