Agent Skills: Targeting Ligand Designer

Active targeting skill for designing and validating nanoparticle targeting strategies

applicationsID: a5c-ai/babysitter/targeting-ligand-designer

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plugins/babysitter/skills/babysit/process/specializations/domains/science/nanotechnology/skills/targeting-ligand-designer/SKILL.md

Skill Metadata

Name
targeting-ligand-designer
Description
Active targeting skill for designing and validating nanoparticle targeting strategies

Targeting Ligand Designer

Purpose

The Targeting Ligand Designer skill provides systematic design of active targeting strategies for nanoparticle drug delivery, enabling selection and validation of targeting moieties for specific cellular or tissue targets.

Capabilities

  • Targeting ligand selection (antibodies, peptides, aptamers)
  • Conjugation chemistry optimization
  • Binding affinity assessment
  • Biodistribution prediction
  • Receptor expression analysis
  • In vitro targeting validation

Usage Guidelines

Targeting Design

  1. Ligand Selection

    • Identify target receptor
    • Evaluate ligand options
    • Consider size and stability
  2. Conjugation Optimization

    • Select chemistry
    • Optimize ligand density
    • Preserve binding activity
  3. Validation

    • Measure binding affinity
    • Test cellular uptake
    • Assess selectivity

Process Integration

  • Nanoparticle Drug Delivery System Development
  • Nanosensor Development and Validation Pipeline

Input Schema

{
  "target_receptor": "string",
  "cell_type": "string",
  "nanoparticle_type": "string",
  "ligand_candidates": ["string"],
  "required_specificity": "number (fold)"
}

Output Schema

{
  "recommended_ligand": {
    "name": "string",
    "type": "antibody|peptide|aptamer|small_molecule",
    "Kd": "number (nM)"
  },
  "conjugation_strategy": {
    "chemistry": "string",
    "ligand_density": "number (ligands/NP)",
    "orientation": "string"
  },
  "predicted_performance": {
    "specificity": "number (fold)",
    "uptake_enhancement": "number (fold)"
  }
}