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Updated: Sep 17, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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用大型语言模型和图形神经网络对蛋白质蛋白质模型进行排名

Xiaotong Xu1, Alexandre M J J Bonvin2

  • 1Computational Structural Biology Group, Department of Chemistry, Bijvoet Centre for Biomolecular Research, Faculty of Science, Utrecht University, Utrecht, Netherlands.

Methods in molecular biology (Clifton, N.J.)
|July 2, 2025
PubMed
概括

这项研究介绍了DeepRank-GNN-esm,这是一种深度学习工具,可以对蛋白质-蛋白质相互作用模型进行排名. 它有助于确定疾病研究和药物设计的准确结构.

关键词:
深度排名-GNN-esm-esm 是一个深度排名.图表神经网络的神经网络蛋白质语言模型的模型蛋白质蛋白质评分 蛋白质评分

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