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Deutsch(DE) RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery

药物发现PPIs新RAG基准发布

研究人员推出了RAGPPI,这是一个旨在评估检索增强生成(RAG)系统在药物发现中识别蛋白质-蛋白质相互作用(PPIs)的生物学影响的新基准。该基准包含4,420个问答对,其中500对的黄金标准子集是通过专家注释创建的,而银标准集是使用集成自动评估LLM生成的。RAGPPI旨在通过提供一个针对该特定任务的专用资源,来推进用于药物发现应用的RAG系统。 AI

排序理由 该集群描述了一篇介绍AI研究基准数据集的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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药物发现PPIs新RAG基准发布

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该集群描述了一篇介绍AI研究基准数据集的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 Deutsch(DE) · Youngseung Jeon, Ziwen Li, Thomas Li, JiaSyuan Chang, Morteza Ziyadi, Xiang 'Anthony' Chen ·

    RAGPPI: 药物发现中蛋白质-蛋白质相互作用的RAG基准

    arXiv:2505.23823v2 Announce Type: replace Abstract: Retrieving the biological impacts of protein-protein interactions (PPIs) is essential for target identification (Target ID) in drug development. Given the vast number of proteins involved, this process remains time-consuming and…