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Updated: Jul 6, 2025

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预测T细胞受体-结合的注意力网络可以将注意力与可解释的蛋白质结构性质联系起来

Kyohei Koyama1,2,3, Kosuke Hashimoto1, Chioko Nagao1

  • 1Laboratory for Computational Biology, Institute for Protein Research, Osaka University, Osaka, Japan.

Frontiers in bioinformatics
|January 3, 2024
PubMed
概括

研究人员开发了一种机器学习模型,使用氨基酸序列预测T细胞受体 (TCR) 和-主要基因相容复合体 (pMHC) 相互作用. 这种可解释的模型有助于理解分子识别和设计新疗法.

关键词:
这种T细胞受体是T细胞受体.注意力网络注意力网络有约束力的预测预测.通过键结合,形成键.这是一种类.蛋白质结构 蛋白质结构变压器的变压器是一个变压器.

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