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基因-表型中[具体药物或物质未给出]的网络药理学分析

Network Pharmacology Analysis of in Gene-Phenotype.

作者信息

Long Shengrong, Yuan Caihong, Wang Yue, Zhang Jie, Li Guangyu

机构信息

Department of Neurosurgery, The First Affiliated Hospital of China Medical University, NanJing Bei Road, Heping District, Shenyang, 110001, LiaoNing Province, China.

Department of Chinese Medicine, The First Affiliated Hospital of China Medical University, NanJing Bei Road, Heping District, Shenyang, 110001, LiaoNing Province, China.

出版信息

Evid Based Complement Alternat Med. 2019 Feb 17;2019:1368371. doi: 10.1155/2019/1368371. eCollection 2019.

DOI:10.1155/2019/1368371
PMID:30906409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6398045/
Abstract

is known as Huci in traditional Chinese medicine. It contains a component having anthraquinone-like structure which is a part of the many used anticancer drugs. This study was to collect the evidence of disease-modulatory activities of Huci by analyzing the published literature on the chemicals and drugs. A list of its compounds and direct protein targets is predicted by using Bioinformatics Analysis Tool for Molecular Mechanism of TCM. A protein-protein interaction network using links between its directed targets and the other known targets was constructed. The DPT-associated genes in net were scrutinized by WebGestalt. Exploring the cancer genomics data related to Huci through cBio Portal. Survival analysis for the overlap genes is done by using UALCAN. We got 16 compounds and it predicts 62 direct protein targets and 100 DPTs and they were identified for these compounds. DPT-associated genes were analyzed by WebGestalt. Through the enrichment analysis, we got top 10 identified KEGG pathways. Refined analysis of KEGG pathways showed that one of these ten pathways is linked to Rap1 signaling pathway and another one is related to breast cancer. The survival analysis for the overlap genes shows the significant negative effect of these genes on the breast cancer patients. Through the research results of , it is shown that medicine network pharmacology may be regarded as a new paradigm for guiding the future studies of the traditional Chinese medicine in different fields.

摘要

在传统中医中被称为虎刺。它含有一种具有蒽醌样结构的成分,这是许多常用抗癌药物的一部分。本研究旨在通过分析已发表的关于化学物质和药物的文献,收集虎刺疾病调节活性的证据。使用中药分子机制生物信息学分析工具预测其化合物和直接蛋白质靶点列表。构建了一个蛋白质-蛋白质相互作用网络,该网络利用其直接靶点与其他已知靶点之间的联系。通过WebGestalt仔细检查网络中与DPT相关的基因。通过cBio Portal探索与虎刺相关的癌症基因组学数据。使用UALCAN对重叠基因进行生存分析。我们获得了16种化合物,并预测了62个直接蛋白质靶点和100个DPT,并且为这些化合物鉴定了这些靶点。通过WebGestalt分析与DPT相关的基因。通过富集分析,我们获得了前10个已鉴定的KEGG途径。对KEGG途径的精细分析表明,这十条途径中的一条与Rap1信号通路相关,另一条与乳腺癌相关。重叠基因的生存分析显示这些基因对乳腺癌患者有显著的负面影响。通过……的研究结果表明,药物网络药理学可被视为指导未来不同领域中药研究的新范式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/5a59c65ad8a5/ECAM2019-1368371.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/ee2daed74daa/ECAM2019-1368371.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/e38c47201299/ECAM2019-1368371.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/5a59c65ad8a5/ECAM2019-1368371.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/ee2daed74daa/ECAM2019-1368371.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/e38c47201299/ECAM2019-1368371.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56db/6398045/5a59c65ad8a5/ECAM2019-1368371.003.jpg

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