agentd-drug-discovery
AgentD autonomous drug discovery: target identification, hit finding, ADMET optimization.
Maintainer FreedomIntelligence · Last updated April 1, 2026
AAV vector design: capsid selection, promoter optimization, payload capacity.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/aav-vector-design-agent
Skill Snapshot
Source Doc
Capsid Selection: Match AAV serotype to target tissue based on tropism profiles.
Capsid Engineering: Design modified capsids for enhanced transduction or immune evasion.
Promoter Design: Select and optimize tissue-specific or ubiquitous promoters.
Transgene Optimization: Codon optimization and regulatory element design.
Immunogenicity Prediction: Predict NAb binding and T-cell epitopes.
Manufacturing Assessment: Evaluate producibility and purification considerations.
| Serotype | Primary Tropism | Clinical Use |
|---|---|---|
| AAV1 | Muscle, CNS | Glybera (muscle) |
| AAV2 | Broad (liver, muscle) | Luxturna (retina) |
| AAV5 | CNS, liver, retina | Hemgenix (liver) |
| AAV8 | Liver, muscle | Multiple trials |
| AAV9 | CNS, cardiac, liver | Zolgensma (CNS) |
| AAVrh10 | CNS, liver | CNS trials |
| AAVrh74 | Muscle | Elevidys (muscle) |
| AAV-PHP.eB | CNS (mouse) | Research |
Input: Target tissue, therapeutic gene, patient population characteristics.
Capsid Selection: Rank serotypes by tropism profile match.
Capsid Engineering: Design modifications if needed (peptide insertion, point mutations).
Cassette Design: Optimize ITR-to-ITR expression cassette.
Immunogenicity Analysis: Predict NAb prevalence and T-cell epitopes.
Manufacturing Review: Assess production feasibility.
Output: Complete vector design with rationale.
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