targeting-ligand-designer

Solid

Active targeting skill for designing and validating nanoparticle targeting strategies

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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 ```json { "target_receptor": "string", "cell_type": "string", "nanoparticle_type": "string", "ligand_candidates": ["string"], "required_specificity": "number (fold)" } ``` ## Output Schema ```json { "recommended_ligand": { "name": "string", "type": "antibody|peptide|aptamer|small_molecule", "Kd": "number (nM)" }, "conjugation_strategy": { "chemistry": "string", "ligand_density": "number (ligands/NP)", "orientation": "string" }, "pred...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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