| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 9000984 | 1118046 | 2005 | 6 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												Identification of natural compounds with antiviral activities against SARS-associated coronavirus
												
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													علوم زیستی و بیوفناوری
													ایمنی شناسی و میکروب شناسی
													ویروس شناسی
												
											پیش نمایش صفحه اول مقاله
												 
												چکیده انگلیسی
												More than 200 Chinese medicinal herb extracts were screened for antiviral activities against Severe Acute Respiratory Syndrome-associated coronavirus (SARS-CoV) using 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium inner salt (MTS) assay for virus-induced cytopathic effect (CPE). Four of these extracts showed moderate to potent antiviral activities against SARS-CoV with 50% effective concentration (EC50) ranging from 2.4 ± 0.2 to 88.2 ± 7.7 μg/ml. Out of the four, Lycoris radiata was most potent. To identify the active component, L. radiata extract was subjected to further fractionation, purification, and CPE/MTS assays. This process led to the identification of a single substance lycorine as an anti-SARS-CoV component with an EC50 value of 15.7 ± 1.2 nM. This compound has a CC50 value of 14980.0 ± 912.0 nM in cytotoxicity assay and a selective index (SI) greater than 900. The results suggested that four herbal extracts and the compound lycorine are candidates for the development of new anti-SARS-CoV drugs in the treatment of SARS.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Antiviral Research - Volume 67, Issue 1, July 2005, Pages 18-23
											Journal: Antiviral Research - Volume 67, Issue 1, July 2005, Pages 18-23
نویسندگان
												Shi-you Li, Cong Chen, Hai-qing Zhang, Hai-yan Guo, Hui Wang, Lin Wang, Xiang Zhang, Shi-neng Hua, Jun Yu, Pei-gen Xiao, Rong-song Li, Xuehai Tan,