Automatic Ligand parameterization tutorial using BioExcel Building Blocks (biobb)
This tutorial aims to illustrate the process of ligand parameterization for a small molecule, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the Sulfasalazine protein (3-letter code SAS), used to treat rheumatoid arthritis, ulcerative colitis, and Crohn’s disease.
OpenBabel and ACPype packages are used to add hydrogens, energetically minimize the structure, and generate parameters for the GROMACS package. With Generalized Amber Force Field (GAFF) forcefield and AM1-BCC charges.
Settings
Biobb modules used
biobb_io: Tools to fetch data to be consumed by the rest of the Biobb building blocks.
biobb_chemistry: Tools to manipulate chemical data.
Auxiliary libraries used
Conda Installation and Launch
git clone https://github.com/bioexcel/biobb_wf_ligand_parameterization.git
cd biobb_wf_ligand_parameterization
conda env create -f conda_env/environment.yml
conda activate biobb_ligand_parameterization_tutorial
jupyter-notebook biobb_wf_ligand_parameterization/notebooks/biobb_ligand_parameterization_tutorial.ipynb
Tutorial
Click here to view tutorial in Read the Docs
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).
(c) 2015-2023 Barcelona Supercomputing Center
(c) 2015-2023 Institute for Research in Biomedicine
Licensed under the Apache License 2.0, see the file LICENSE for details.