Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
nk-cell-therapy-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
NK cell therapy design: receptor engineering, expansion protocols, persistence.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/nk-cell-therapy-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- NK Cell Therapy Agent provides AI-driven design 、 optimization of natural killer cell therapies ,用于 cancer treatment. It covers CAR-NK engineering,cytokine-induced memory-like (CIML) NK generation,KIR/HLA matching,、 NK cell expansion optimization。
- When designing CAR-NK constructs ,用于 tumor targeting。
- To optimize KIR/HLA mismatch ,用于 allogeneic NK therapy。
- 用于 generating memory-like NK cells ,支持 enhanced persistence。
- When predicting NK cell activation against specific tumor types。
原始文档
SKILL.md 摘录
Core Capabilities
-
CAR-NK Design: Design chimeric antigen receptors optimized for NK cell biology (NK-specific signaling domains).
-
KIR/HLA Matching: Predict KIR-HLA interactions for donor selection in allogeneic therapy.
-
Memory-Like NK Generation: Optimize CIML protocol with IL-12/15/18 cytokine preactivation.
-
Expansion Optimization: ML models for feeder-free NK expansion conditions.
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Tumor Target Prediction: Match NK receptor profiles to tumor ligand expression.
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Persistence Enhancement: Engineering strategies for improved in vivo survival.
NK Cell Advantages Over T Cells
| Feature | NK Cells | T Cells |
|---|---|---|
| MHC requirement | No | Yes |
| Allogeneic use | Yes (no GVHD) | Limited (GVHD risk) |
| CRS risk | Lower | Higher |
| Off-the-shelf | Yes | Autologous typical |
| Antigen escape | Multiple receptors | Single CAR |
| Persistence | Shorter | Longer |
Workflow
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Input: Target antigen, tumor type, NK source (PB, UCB, iPSC, cell line).
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CAR Design: Generate optimized CAR-NK construct sequence.
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KIR Analysis: Determine KIR genotype and HLA matching for donors.
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Activation Protocol: Optimize cytokine cocktail for desired phenotype.
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Expansion: Design feeder-based or feeder-free expansion protocol.
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Quality Prediction: Predict NK product functionality.
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Output: CAR sequence, donor recommendations, expansion protocol, QC metrics.
适用场景
- When designing CAR-NK constructs ,用于 tumor targeting。
不适用场景
- Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。
上游相关技能
- CART_Design_Optimizer_Agent - For CAR engineering principles
- Epitope_Prediction_Agent - For target selection
- Flow_Cytometry_AI - For NK phenotyping
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