category
PNAS
date
Jan 30, 2026
slug
status
Published
summary
创新性地整合多尺度计算机模拟与实验数据，构建跨靶细胞类型的CAR-NK细胞毒性预测框架，解决了NK细胞受体多样性及信号整合导致的预测难题。
tags
合成生物学
蛋白质组学
type
Post
📄 原文题目
A framework integrating multiscale in silico modeling and experimental data predicts CAR-NK cell cytotoxicity across target cell types
🔗 原文链接
💡 AI 核心解读
创新性地整合多尺度计算机模拟与实验数据，构建跨靶细胞类型的CAR-NK细胞毒性预测框架，解决了NK细胞受体多样性及信号整合导致的预测难题。
📝 英文原版摘要
Proceedings of the National Academy of Sciences, Volume 123, Issue 5, February 2026. <br />SignificancePredicting the activity of chimeric antigen receptor (CAR)-natural killer (NK) cells against their targets is challenging due to the diverse NK cell receptor repertoire and the integration of signals that control their activation. We present ...
- 作者:NotionNext
- 链接:https://tangly1024.com/article/2fe48bd6-1f96-816b-820b-e61688349447
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议，转载请注明出处。
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