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MTPrompt-PTM:一种多任务方法,用于在结构意识的蛋白质语言模型上使用快速调整进行翻译后修改预测

Ye Han1, Fei He1, Qing Shao2

  • 1Department of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.

Biomolecules
|June 26, 2025
PubMed
概括

通过整合结构信息和多任务学习,MTPrompt-PTM增强了翻译后修改 (PTM) 站点预测. 与现有方法相比,这种方法可以提高多种PTM类型的准确性.

关键词:
知识的蒸知识的蒸.多任务预测多任务预测翻译后修改预测的预测.快速调整调整的提示结构感知蛋白质语言模型 (S-PLM)

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