Vina
Type | PyMOL Plugin |
---|---|
Download | https://raw.githubusercontent.com/Pymol-Scripts/Pymol-script-repo/refs/heads/master/plugins/vina.py |
Author(s) | Pedro Sousa Lacerda |
License | Free Software |
This plugin enables virtual screening with the AutoDock Vina software stack. It uses Meeko and Scrub to prepare the target receptor and molecular ligands, and PLIP and Matplotlib to analyze the results.
It was tested on PyMOL 3.1 with Python 3.10 on Fedora Linux 41, but Windows is partially supported and maybe Mac also works.
Input
Supports multi-SMILES, SDF and MOL files, the same formats supported by Scrub. Make sure to store your chemical libraries so it can be reused. The snippet below illustrate a SMILES file with multiple SMILES separated from the molecule name by empty spaces.
Cc1c(Cl)cccc1Nc1ncccc1C(=O)OC[C@H](O)CO ZINC000000000171 CN(C)CC[C@@H]1c2ccc(Cl)cc2CCc2cccnc21 ZINC000000000179 CC(C)NC[C@H]1CCc2cc(CO)c([N+](=O)[O-])cc2N1 ZINC000000000570 Cc1nc(NCc2ccccc2)c2cc[nH]c2n1 ZINC000000002036
Note: Stored libraries includes the protonation state. Using such libraries means the same hydrogens are used, ignoring the specified pH.
Usage
- Run docking/screening
- Fill the target receptor and box center with . They must be selections or objects or extracted objects already loaded into PyMOL. If there are rigid ligands (e.g. a cofactor) or important water molecules, they must be on the receptor selection/object. Click on Run to start.
- Analyzing results
- The top max load conformations ranked up to max mode are listed on the interface. Click on the molecule name (suffix
_m5
denotes the fifth model) to render a PLIP visualization of the docked ligand. Click on the export table to save the loaded molecule's affinity into a XLSX file. - If the Intensive computation is enabled, the plugin will compute the PLIP interaction for loaded poses and plot an AuPosSOM-like dendogram tree based on pose similarity. A bar chart counting the number of interactions the residue does for each PLIP interaction type
Instalation
Install using the URL on the Plugin Manager, it should be straightforward with automatic dependencies install.
On the first time executing the plugin, it may freeze PyMOL while downloading the required Python packages (libraries). In case of ImportError
messages, it's recommended to troubleshot the following commands on the PyMOL console.
conda install -y matplotlib openpyxl scipy meeko plip openbabel rdkit pandas lxml pip install https://github.com/pslacerda/molscrub/archive/refs/heads/windows.exe.zip
The general syntax is run conda install -y
or pip install
prefixing the wanted/required package.
Caveats
The main docking or screening step is as fast as base programs, but the analyze interface is slow, specially if the "intensive" computation option is enabled.
Author
zzPedro Sousa Lacerda, Universidade Federal da Bahia, <pslacerda@gmail.com>.