数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
NK

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.

OpenClawNanoClaw分析处理复现实验nk-cell-therapy-agent🧠 bioos extended suiteimmunology & cell therapynk

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

2 min

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

  1. CAR-NK Design: Design chimeric antigen receptors optimized for NK cell biology (NK-specific signaling domains).

  2. KIR/HLA Matching: Predict KIR-HLA interactions for donor selection in allogeneic therapy.

  3. Memory-Like NK Generation: Optimize CIML protocol with IL-12/15/18 cytokine preactivation.

  4. Expansion Optimization: ML models for feeder-free NK expansion conditions.

  5. Tumor Target Prediction: Match NK receptor profiles to tumor ligand expression.

  6. Persistence Enhancement: Engineering strategies for improved in vivo survival.

NK Cell Advantages Over T Cells

FeatureNK CellsT Cells
MHC requirementNoYes
Allogeneic useYes (no GVHD)Limited (GVHD risk)
CRS riskLowerHigher
Off-the-shelfYesAutologous typical
Antigen escapeMultiple receptorsSingle CAR
PersistenceShorterLonger

Workflow

  1. Input: Target antigen, tumor type, NK source (PB, UCB, iPSC, cell line).

  2. CAR Design: Generate optimized CAR-NK construct sequence.

  3. KIR Analysis: Determine KIR genotype and HLA matching for donors.

  4. Activation Protocol: Optimize cytokine cocktail for desired phenotype.

  5. Expansion: Design feeder-based or feeder-free expansion protocol.

  6. Quality Prediction: Predict NK product functionality.

  7. 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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