Mechanistic study of Lonicerae Japonicae Flos (Caprifoliaceae) in non-small cell lung cancer prevention and treatment through integrative pharmacology, multi-machine learning, artificial intelligence, and in vitro experiments

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Liu, Can;He, Peng;Qiao, Ru;Yang, Xiaoyan;Ding, Changsong;...

通讯作者：

He, FY

作者机构：

[He, Fuyuan; He, Peng; Qiao, Ru; Liu, Can] Hunan Univ Chinese Med, Coll Pharm, Changsha 410208, Peoples R China.

[He, Fuyuan; He, Peng; Qiao, Ru; Liu, Can] Hunan Prov Key Lab Drugabil & Preparat Modificat T, Changsha 410208, Peoples R China.

[Yang, Xiaoyan; Ding, Changsong] Hunan Univ Chinese Med, Sch Informat, Changsha 410208, Hunan, Peoples R China.

通讯机构：

[He, FY ] H

Hunan Univ Chinese Med, Coll Pharm, Changsha 410208, Peoples R China.

语种：

英文

关键词：

Immune infiltration;In vitro experiment;Lonicerae japonicae flos (Caprifoliaceae);Multi-machine learning;Network pharmacology;Non-small cell lung cancer

期刊：

Journal of Ethnopharmacology

ISSN：

0378-8741

年：

2025

卷：

348

页码：

119832

DOI：

10.1016/j.jep.2025.119832

基金类别：

National Natural Science Foundation of China [82274215]; Hunan Provincial Key RD Program [2022SK 2014]; Hunan Provincial Natural Science Foundation [2022JJ30453]; Hunan University of Chinese Medicine (2022) Special Project for Tackling Key Issues [2022-12-27-1]

机构署名：

本校为第一且通讯机构

院系归属：

药学院

摘要：

Ethnopharmacological relevance Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the homology of medicine and food, is traditionally utilized for its heat-clearing, detoxifying, and anticancer properties. Yet, the mechanism by which LJF may assist in the treatment of non-small cell lung cancer (NSCLC) remains unclear. Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the homology of medicine and food, is traditionally utilized for its heat-clearing, detoxifying, and anticancer properties. Yet, the mechanism by which LJF ...

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Mechanistic study of Lonicerae Japonicae Flos (Caprifoliaceae) in non-small cell lung cancer prevention and treatment through integrative pharmacology, multi-machine learning, artificial intelligence, and in vitro experiments

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