CuAgent provides a RAG-assisted intelligent framework to investigate cuproptosis.

Chunlong Zhang, Jin Bao, Haojie Yu, Haijie Cui, Xuecang Li, Jianli Ma, Ning Zhao

Abstract read

In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chunlong ZhangCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China.

Jin BaoCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China.

Haojie YuCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China.

Haijie CuiDepartment of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China.

Xuecang LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, 163000, China.

Jianli MaDepartment of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China. 601959@hrbmu.edu.cn.

Ning ZhaoCollege of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China. zhaoning@nefu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cuproptosis is a novel form of regulated cell death driven by intracellular copper accumulation, leading to lipoylated protein aggregation and Fe-S cluster destabilization. Dysregulation of this process has been implicated in various pathological conditions, including cancers, neurodegenerative diseases and metabolic diseases. Despite rapidly growing interest in cuproptosis, a systematically curated intelligent agent dedicated to cuproptosis-related genes (CRGs) and their disease associations remains lacking. To address this, we constructed a cuproptosis-related artificial intelligence (AI) knowledge base, named CuAgent, by manually curating 465 experimentally validated CRGs and 163 associated diseases. CuAgent introduces an innovative intelligent agent that enables users to perform natural language queries and receive data-driven responses. In addition, agent offers gene queries and analytical tools (expression profiling, survival analysis, protein interaction network visualization and correlation analysis). This study provides critical insights into cuproptosis progression, presenting a comprehensive and interactive resource to advance the understanding of cuproptosis. URL: https://bioinfor.nefu.edu.cn/CuAgent/home/ .

Indexed as

Artificial IntelligenceCopperCuproptosisBiocurationComputational BiologyHumansProtein Interaction MapsCopperBioinformatics platformCuproptosisIntelligent agentNatural language processingRetrieval-augmented generation

Identifiers

PMID42020508

DOI10.1038/s41598-026-49929-7

PMCPMC13269929

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.