This tutorial aims to illustrate the process of ligand parameterization for a small molecule, step by step, using the BioExcel Building Blocks library (biobb).
Two examples are provided:
- One uses is the Sulfasalazine protein (3-letter code SAS), used to treat rheumatoid arthritis, ulcerative colitis, and Crohn's disease, generating parameters for the the GROMACS package.
- The second example used Oseltamivir (also called Tamiflu), an antiviral drug, generating parameters for use in CNS (the computational engine used for example by *HADDOCK).
OpenBabel and ACPype packages are used to add hydrogens, energetically minimize the structure, and generate parameters with Generalized Amber Force Field (GAFF) forcefield and AM1-BCC charges.
- biobb_io: Tools to fetch data to be consumed by the rest of the Biobb building blocks.
- biobb_chemistry: Tools to manipulate chemical data.
- 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.
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_wf_ligand_parameterizationFor parametrizing a ligand for use in GROMACS launch the following notebook:
jupyter-notebook biobb_wf_ligand_parameterization/notebooks/biobb_wf_ligand_parameterization.ipynbFor parametrizing a ligand for use in CNS/HADDOCK launch the following notebook:
jupyter-notebook biobb_wf_ligand_parameterization/notebooks/biobb_wf_ligand_parameterization_CNS.ipynbClick here to execute the GROMACS parametrization tutorial in Binder
Click here to execute the CNS parametrization tutorial in Binder
Click here to open the GROMACS parametrization tutorial in Google Colab
Click here to open the CNS parametrization tutorial in Google Colab
2026.1
This software has been developed in the MMB group at the BSC & IRB for the European BioExcel, funded by the European Commission (EU Horizon Europe 101093290, EU H2020 823830, EU H2020 675728).
- (c) 2015-2026 Barcelona Supercomputing Center
- (c) 2015-2026 Institute for Research in Biomedicine
Licensed under the Apache License 2.0, see the file LICENSE for details.
