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pharmacology-wetlab

Computational analysis of pharmacology wet-lab experiments. Western blot densitometry, xenograft tumor growth inhibition, pharmaceutical stability modeling (Arrhenius), radiolabeled antibody biodistribution, MIRD dosimetry, and adverse event grading. For drug databases use chembl-database or fda-database; for molecular docking use diffdock.

backend/cli/skills/biology/pharmacology-wetlab/SKILL.md

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# Pharmacology Wet-Lab: Experimental Data Analysis

## Overview

Pharmacology Wet-Lab provides computational tools for analyzing data from pharmacology experiments. This skill covers western blot densitometry and quantification, xenograft tumor growth inhibition analysis, pharmaceutical stability modeling using Arrhenius kinetics, radiolabeled antibody biodistribution calculations, MIRD-based dosimetry, adverse event grading against CTCAE criteria, and dose-response curve fitting for IC50/EC50 determination.

## When to Use This Skill

- Quantifying protein expression from western blot images
- Analyzing xenograft tumor growth data and calculating TGI%
- Predicting pharmaceutical shelf life from accelerated stability data
- Processing radiolabeled antibody biodistribution data (%ID/g)
- Estimating absorbed radiation doses (MIRD dosimetry)
- Grading adverse events against CTCAE or VCOG-CTCAE scales