Automate molecular docking workflows with AutoDock Vina, Open Babel, and PyMOL.
npx skills add https://github.com/DrugClaw/DrugClaw --skill docking-tools
Please help me install this Agent Skill. Skill: docking-tools Source: https://github.com/DrugClaw/DrugClaw/tree/main/skills/pharma/docking-tools Command: npx skills add https://github.com/DrugClaw/DrugClaw --skill docking-tools
This Skill streamlines the complex process of molecular docking, a critical step in drug discovery, by providing a guided workflow and reusable templates.
Use the docking-tools skill to run a molecular docking workflow using the provided manifest file.
High-intent search queries and answers about installing and using this skill.
Automating molecular docking workflows involves streamlining receptor and ligand preparation, docking box generation, AutoDock Vina execution, and result analysis. This Skill provides a guided pipeline to handle these steps reproducibly.
Running batch docking with AutoDock Vina is best handled through an automated pipeline that prepares ligand libraries and receptor structures, executes the docking runs, and analyzes the resulting binding affinities. This Skill automates that entire process.
Fetching protein structures from PDB or AlphaFold for molecular docking is fully supported. The Skill integrates data retrieval from these sources alongside ligand fetching from PubChem, ChEMBL, and DrugBank to prepare inputs.
Reproducible computational chemistry scripts are supported through reusable templates and guided workflows. The Skill addresses the need for reproducibility in bioinformatics and cheminformatics by providing a structured docking pipeline.
Preparing receptors and ligands for protein-ligand interaction analysis involves processing raw structural data into compatible formats. This Skill facilitates both receptor and ligand preparation as the initial stages of its end-to-end docking pipeline.
Tools integrated for computational chemistry and docking result analysis include AutoDock Vina, Open Babel, and PyMOL, alongside libraries like RDKit and DeepChem. These facilitate docking execution and generate comprehensive reports and visualizations.
nahisahoRetrieve protein structures from PDB, AlphaFold DB, and PDBe for quality assessment and docking preparation.
pradyumnasagarPredict and score protein-ligand binding affinities with machine learning and docking.
jimmc414Analyze and manipulate molecular structures with RDKit cheminformatics operations.
DrugClawFeaturize molecules and predict binding affinity for drug discovery workflows.
