Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractImprovement of Bemisia tabaci (Hemiptera: Aleyrodidae) Fitness on Chinese Kale upon Simultaneous Herbivory by Plutella xylostella (Lepidoptera: Plutellidae)    Next Abstract[Experimental infection of mammals with Pieris rapae granulosis virus] »

Planta Med


Title:Feature selection for the identification of antitumor compounds in the alcohol total extracts of Curcuma longa
Author(s):Jiang JL; Li ZD; Zhang H; Li Y; Zhang XH; Yuan YF; Yuan YJ;
Address:"Key Laboratory of Systems Bioengineering, Ministry of Education and Tianjin Key Laboratory of Biological and Pharmaceutical Engineering, Department of Pharmaceutical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, China"
Journal Title:Planta Med
Year:2014
Volume:20140821
Issue:12
Page Number:1036 - 1044
DOI: 10.1055/s-0034-1382951
ISSN/ISBN:1439-0221 (Electronic) 0032-0943 (Linking)
Abstract:"Antitumor activity has been reported for turmeric, the dried rhizome of Curcuma longa. This study proposes a new feature selection method for the identification of the antitumor compounds in turmeric total extracts. The chemical composition of turmeric total extracts was analyzed by gas chromatography-mass spectrometry (21 ingredients) and high-performance liquid chromatography-mass spectrometry (22 ingredients), and their cytotoxicity was detected through an 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay against HeLa cells. A support vector machine for regression and a generalized regression neural network were used to research the composition-activity relationship and were later combined with the mean impact value to identify the antitumor compounds. The results showed that six volatile constituents (three terpenes and three ketones) and seven nonvolatile constituents (five curcuminoids and two unknown ingredients) with high absolute mean impact values exhibited a significant correlation with the cytotoxicity against HeLa cells. With the exception of the two unknown ingredients, the identified 11 constituents have been reported to exhibit cytotoxicity. This finding indicates that the feature selection method may be a supplementary tool for the identification of active compounds from herbs"
Keywords:"Antineoplastic Agents, Phytogenic/analysis/pharmacology/*therapeutic use Chromatography, Liquid Curcuma/chemistry Curcumin/analysis/pharmacology/*therapeutic use Female Gas Chromatography-Mass Spectrometry HeLa Cells Humans Ketones/analysis/pharmacology/*;"
Notes:"MedlineJiang, Jian-Lan Li, Zi-Dan Zhang, Huan Li, Yan Zhang, Xiao-Hang Yuan, Yi-fu Yuan, Ying-jin eng Research Support, Non-U.S. Gov't Germany 2014/08/22 Planta Med. 2014 Aug; 80(12):1036-44. doi: 10.1055/s-0034-1382951. Epub 2014 Aug 21"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 06-07-2024