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Protein Ligand Complex MD Setup tutorial using BioExcel Building Blocks (biobb)

Based on the official GROMACS tutorial.


This tutorial aims to illustrate the process of setting up a simulation system containing a protein in complex with a ligand, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the T4 lysozyme L99A/M102Q protein (PDB code 3HTB), in complex with the 2-propylphenol small molecule (3-letter Code JZ4).


Settings

Biobb modules used

Auxiliary libraries used

  • jupyter: Free software, open standards, and web services for interactive computing across all programming languages.
  • nglview: Jupyter/IPython widget to interactively view molecular structures and trajectories in notebooks.
  • plotly: Python interactive graphing library integrated in Jupyter notebooks.
  • simpletraj: Lightweight coordinate-only trajectory reader based on code from GROMACS, MDAnalysis and VMD.

Conda Installation and Launch

git clone https://github.com/bioexcel/biobb_wf_protein-complex_md_setup.git
cd biobb_wf_protein-complex_md_setup
conda env create -f conda_env/environment.yml
conda activate biobb_Protein-Complex_MDsetup_tutorial
jupyter-notebook biobb_wf_protein-complex_md_setup/notebooks/biobb_Protein-Complex_MDsetup_tutorial.ipynb

Tutorial

Click here to view tutorial in Read the Docs

Click here to execute tutorial in Binder


Version

2023.3

Copyright & Licensing

This software has been developed in the MMB group at the BSC & IRB for the European BioExcel, funded by the European Commission (EU H2020 823830, EU H2020 675728).

Licensed under the Apache License 2.0, see the file LICENSE for details.

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This tutorial aims to illustrate the process of setting up a simulation system containing a protein in complex with a ligand, step by step, using the BioExcel Building Blocks library (biobb).

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