General machine learning model, review, and experimental-theoretic study of magnolol activity in enterotoxigenic induced oxidative stress

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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：

Deng, Yanli;Liu, Yong;Tang, Shaoxun;Zhou, Chuanshe;Han, Xuefeng;...

通讯作者：

Xiao, Wenjun;Tan, Zhiliang

作者机构：

[Xiao, WJ; Tan, Zhiliang; Xiao, Wenjun; Deng, Yanli] Hunan Agr Univ, Natl Res Ctr Engn Technol Utilizat Bot Funct Ingr, Changsha 410128, Hunan, Peoples R China.

[Tang, Shaoxun; Tan, Zhiliang; Han, Xuefeng; Liu, Yong; Zhou, Chuanshe] Chinese Acad Sci, Key Lab Agroecol Proc Subtrop Reg, Hunan Res Ctr Livestock & Poultry Sci,Inst Subtro, South Cent Expt Stn Anim Nutr & Feed Sci,Minist A, Changsha 410125, Hunan, Peoples R China.

[Tang, Shaoxun; Tan, Zhiliang; Zhou, Chuanshe] CICAPS, Hunan Coinnovat Ctr Anim Prod Safety, Changsha 410125, Hunan, Peoples R China.

[Deng, Yanli] Guizhou Univ, Tea Coll, Guiyang 550025, Guizhou, Peoples R China.

[Vazquez-Naya, Jose Manuel; Pastur-Romay, Lucas Anton; Munteanu, Cristian R.] Univ A Coruna, Fac Comp Sci, RNASA IMEDIR, Campus Elvina S-N, La Coruna 15071, Spain.

通讯机构：

[Xiao, WJ; Tan, ZL] H

Hunan Agr Univ, Natl Res Ctr Engn Technol Utilizat Bot Funct Ingr, Changsha 410128, Hunan, Peoples R China.

语种：

英文

关键词：

QSAR model;Magnolol;Antioxidative activity;Reactive oxygen species;Machine learning;Random forest.

期刊：

CURRENT TOPICS IN MEDICINAL CHEMISTRY

ISSN：

1568-0266

年：

2017

卷：

期：

页码：

2977-2988

DOI：

10.2174/1568026617666170821130315

基金类别：

This study was financially supported by the National Natural Science Foundation of China (Grant No. 30972166), Hunan Provincial Education Department (Grant No. 08A031), Hunan Provincial Innovation Foundation for Post-graduate (CX2011B304, CX2014B300). This work was supported by the “Galician Network for Colorectal Cancer Research (REGICC)” (ref R2014/039), funded by Xunta de Galicia. In addition, the current work was supported by the General Directorate of Culture, Education and University Management of Xunta de Galicia (Ref. GRC2014/049), Spain and finally by the Spanish Ministry of Economy and Competitiveness for its support with the funding of the unique installation BIOCAI (UNLC08-1E-002, UNLC13-13-3503). L. A. Pastur-Romay thank the Principia program of Xunta de Galicia (Ref. IN848C_2016_1895718,09. A3.561A.480.0).

机构署名：

本校为第一且通讯机构

院系归属：

园艺园林学院

摘要：

This study evaluated the antioxidative effects of magnolol based on the mouse model induced by Enterotoxigenic Escherichia coli (E. coli, ETEC). All experimental mice were equally treated with ETEC suspensions (3.45×109 CFU/ml) after oral administration of magnolol for 7 days at the dose of 0, 100, 300 and 500 mg/kg Body Weight (BW), respectively. The oxidative metabolites and antioxidases for each sample (organism of mouse) were determined: Malondialdehyde (MDA), Nitric Oxide (NO), Glutathione (GSH), Myeloperoxidase (MPO), Catalase (CAT), Sup...

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General machine learning model, review, and experimental-theoretic study of magnolol activity in enterotoxigenic induced oxidative stress

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