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Updated: Sep 16, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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POSA-GO:分层基因本体学和蛋白质语言模型的融合,用于蛋白质功能预测

Yubao Liu1, Benrui Wang1, Bocheng Yan1

  • 1College of Computer Science and Technology, Changchun University, Changchun 130012, China.

International journal of molecular sciences
|July 12, 2025
PubMed
概括

一种新的方法,基因本体学的部分依据自我注意 (POSA-GO),改善了蛋白质功能预测. 它有效地整合了蛋白质序列和基因本体学术语的等级结构,以获得更准确的功能注释.

关键词:
基因本体学 基因本体学多个自我注意力机制.蛋白质功能的预测和预测.蛋白质语言模型

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