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LightCPPgen:一种可解释的机器学习管道,用于合理设计细胞透

Gabriele Maroni1, Filip Stojceski1, Lorenzo Pallante2

  • 1Dalle Molle Institute for Artificial Intelligence IDSIA. USI/SUPSI, Lugano-Viganello, Switzerland.

International journal of antimicrobial agents
|September 10, 2025
PubMed
概括

我们开发了LightCPPgen,这是一种机器学习工具,用于设计用于药物输送的细胞透 (CPP). 这种方法通过减少实验时间和成本,加速发现有效的CPP.

关键词:
细胞透的.可解释的人工智能生成性AI是一种人工智能.机器学习 机器学习

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