Meeko prepares the input for AutoDock and processes its output. It is developed alongside AutoDock-GPU and AutoDock-Vina. Meeko parameterizes both small organic molecules (ligands) and proteins and nucleic acids (receptors).
Meeko is developed by the Forli lab at the Center for Computational Structural Biology (CCSB) at Scripps Research.
The docs are hosted on meeko.readthedocs.io
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Visit the docs for a more complete description. One option is conda or mamba:
micromamba install meekoor from PyPI:
pip install meekoMeeko exposes a Python API to enable scripting. Here we share very minimal examples using the command line scripts just to give context. Please visit the meeko.readthedocs.io for more information.
Parameterizing a ligand and writing a PDBQT file:
mk_prepare_ligand.py -i molecule.sdf -o molecule.pdbqtParameterizing a receptor with a flexible sidechain and writing a PDBQT file
as well as a JSON file that stores the entire receptor datastructure. In this
example, the -o option sets the output base name, -j triggers writing the
.json file, -p triggers writting the .pdbqt file, and -f makes residue
42 in chain A flexible.
mk_prepare_receptor.py -i nucleic_acid.cif -o my_receptor -j -p -f A:42Finally, converting docking results to SDF for the ligand, and PDB for the receptor with updated sidechain positions:
mk_export.py vina_results.pdbqt -j my_receptor.json -s lig_docked.sdf -p rec_docked.pdb