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[[File:Screenshot from 2025-01-19 07-55-07.png|thumb|right|The preparation step.]] | [[File:Screenshot from 2025-01-19 07-55-07.png|thumb|right|The preparation step.]] | ||
[[File:Screenshot_from_2025-01-17_18-06-58.png|thumb|right|The | [[File:Screenshot_from_2025-01-17_18-06-58.png|thumb|right|The execution log.]] | ||
[[File:Screenshot from 2025-01-19 07-53-05.png|thumb|right|The analyzing step.]] | [[File:Screenshot from 2025-01-19 07-53-05.png|thumb|right|The analyzing step.]] | ||
[[File:Screenshot from 2025-01-19 07-52-39.png|thumb|right|The residue interaction histogram.]] | [[File:Screenshot from 2025-01-19 07-52-39.png|thumb|right|The residue interaction histogram.]] | ||
'''''AutoDock Vina based graphical tool with a pythonic streamlined zen powerful simplicity. Check it out!''''' | |||
It was | 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 developed on PyMOL 3.1 with Python 3.10 on Fedora Linux 41, but Windows is supported and maybe Mac. | |||
= Usage = | |||
; Run docking/screening | |||
: The ''target receptor'' and ''box center'' 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. | |||
: A ligand input file on a supported format (Molscrub supports .smi, .sdf, .mol) must be supplied alongside a (preferentially) empty folder to place results. 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 <code>_m5</code> 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 is also plotted. | |||
= Input = | = Input = | ||
Supports | 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. | |||
= Installation = | |||
Install using the URL on the Plugin Manager, it should be straightforward with automatic dependency installation. It may require administrator privileges depending on how PyMOL were installed (i.e. run as administrator). | |||
On the first execution, PyMOL may freeze PyMOL while downloading required Python packages (libraries). In case of <code>ImportError</code> messages, troubleshoot with the following commands in 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 | |||
pip install https://github.com/forlilab/Meeko/archive/refs/tags/v0.6.1.zip | |||
The general syntax is run <code>conda install -y</code> or <code>pip install</code> prefixing the wanted/required package. | |||
= Caveats = | |||
The main docking/screening step runs as fast as base programs, but the analysis interface can be slow, especially when '''intensive''' computation is enabled. This is mainly due to the processing of PLIP interactions. | |||
Latest revision as of 04:42, 18 February 2025
| 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 |
AutoDock Vina based graphical tool with a pythonic streamlined zen powerful simplicity. Check it out!
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 developed on PyMOL 3.1 with Python 3.10 on Fedora Linux 41, but Windows is supported and maybe Mac.
Usage
- Run docking/screening
- The target receptor and box center 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.
- A ligand input file on a supported format (Molscrub supports .smi, .sdf, .mol) must be supplied alongside a (preferentially) empty folder to place results. 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
_m5denotes 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 is also plotted.
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.
Installation
Install using the URL on the Plugin Manager, it should be straightforward with automatic dependency installation. It may require administrator privileges depending on how PyMOL were installed (i.e. run as administrator).
On the first execution, PyMOL may freeze PyMOL while downloading required Python packages (libraries). In case of ImportError messages, troubleshoot with the following commands in 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 pip install https://github.com/forlilab/Meeko/archive/refs/tags/v0.6.1.zip
The general syntax is run conda install -y or pip install prefixing the wanted/required package.
Caveats
The main docking/screening step runs as fast as base programs, but the analysis interface can be slow, especially when intensive computation is enabled. This is mainly due to the processing of PLIP interactions.