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English(EN) DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing

新框架DrugReason结合知识图谱和LLM进行药物再利用

研究人员开发了DrugReason,一个旨在通过整合知识图谱推理和大型语言模型(LLM)见解来增强药物再利用的新型框架。这种方法解决了单独使用任一方法的局限性,因为知识图谱可能受限于现有结构,而LLM在没有事实依据的情况下可能会产生幻觉。DrugReason自适应地将推理路径路由到专业专家,并使用跨专家蒸馏进行知识共享,在PharmaDB、DDInter和DrugBank等数据集上展示了改进的性能。 AI

影响 这项研究可以通过提高识别现有化合物新治疗用途的准确性和可解释性来加速药物发现。

排序理由 该项目是一篇学术论文,详细介绍了一种用于药物再利用的新计算框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新框架DrugReason结合知识图谱和LLM进行药物再利用

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该项目是一篇学术论文,详细介绍了一种用于药物再利用的新计算框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zijie Liu, Hongxuan Li, Zhen Tan, Jinhao Duan, Baixiang Huang, Zunpeng Liu, Kai Shu, Tianlong Chen ·

    DrugReason:基于知识图谱和语言证据的动态多视图推理用于药物再利用

    arXiv:2609.06779v1 Announce Type: cross Abstract: Drug repurposing aims to identify new therapeutic uses for existing compounds and, compared with de novo drug discovery, offers a faster and more cost-effective path to clinical translation. However, the space of candidate drug-di…