drug-docking-analysis

Installation
SKILL.md

drug-docking-analysis

Goal

To analyze virtual screening docking results by computing score distributions, ligand efficiency metrics, and (when labeled actives/inactives are available) enrichment statistics. This skill sits between drug-docking-vina and downstream refinement stages, providing quantitative assessment of docking campaign quality.

Important: this skill does not assess pose quality. A compound can receive an excellent Vina score with a physically implausible pose (internal clashes, strained torsions, mis-assigned bond orders). Always pair this analysis with drug-pose-validation (PoseBusters) before acting on the top-ranked compounds.

Outputs:

  • Score distribution KDE plot
  • Score vs. molecular weight scatter (visualizes Vina's size/lipophilicity bias)
  • Ligand efficiency (LE, BEI, SEI) distributions
  • ROC curve with AUC (when labels available)
  • Enrichment factor bar chart at 1%, 2%, 5%, 10%, 20% (when labels available)
  • Enriched results CSV with per-compound efficiency metrics

Instructions

0. Prerequisites: produce a docking_ranked.csv

Installs
6
GitHub Stars
172
First Seen
Jun 19, 2026