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蛋白质深度学习模型的可解释性

Zahra Fazel1, Camila P E de Souza2, G Brian Golding3

  • 1Department of Computer Science, University of Western Ontario, London, ON N6A 5B7, Canada.

International journal of molecular sciences
|June 13, 2025
PubMed
概括

可解释AI (XAI) 方法揭示了对蛋白质嵌入的洞察力,这对于预测蛋白质相互作用至关重要. 简单的XAI方法在发现必要的生物信息方面可以和复杂的方法一样有效.

关键词:
XAI 方法XAI 方法蛋白质嵌入物 蛋白质嵌入物蛋白质相互作用 蛋白质相互作用

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