留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

应中央军委要求,2022年9月起,《药学实践杂志》将更名为《药学实践与服务》,双月刊,正文96页;2023年1月起,拟出版月刊,正文64页,数据库收录情况与原《药学实践杂志》相同。欢迎作者踊跃投稿!

中药活性成分的高通量筛选新技术

丁璇 洪战英 柴逸峰

丁璇, 洪战英, 柴逸峰. 中药活性成分的高通量筛选新技术[J]. 药学实践与服务, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
引用本文: 丁璇, 洪战英, 柴逸峰. 中药活性成分的高通量筛选新技术[J]. 药学实践与服务, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
DING Xuan, HONG Zhanying, CHAI Yifeng. New technologies for high throughput screening of effective traditional Chinese medicine components[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
Citation: DING Xuan, HONG Zhanying, CHAI Yifeng. New technologies for high throughput screening of effective traditional Chinese medicine components[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001

中药活性成分的高通量筛选新技术

doi: 10.3969/j.issn.1006-0111.2015.03.001

New technologies for high throughput screening of effective traditional Chinese medicine components

  • 摘要: 以近年来国内外研究文献为基础, 总结概括了近5年来中药活性成分的高通量筛选新技术的进展情况。其中生物色谱技术、芯片技术和计算机辅助虚拟筛选等技术得到了广泛应用。这些新技术在中药活性成分筛选方面, 比起传统方法具有效率高、自动化、通量高的优点, 可以为中药活性成分的高通量筛选提供新思路。
  • [1] Wong KC, Wu L.History of Chinese medicine. Being a chronicle of medical happenings in China from ancient times to the present period[J].Nature, 1933, 4(5):527-529.
    [2] Bent S.Herbal medicine in the United States: review of efficacy, safety, and regulation[J].J Gen Intern Med, 2008, 23(6): 854-859.
    [3] Yeh GY, Eisenberg DM, Kaptchuk TJ.Systematic review of herbs and dietary supplements for glycemic control in diabetes[J].Diabetes Care, 2003, 26(4): 1277-1294.
    [4] Hopkins AL.Network pharmacology: the next paradigm in drug discovery[J].Nat Chem Biol, 2008, 4(11): 682-690.
    [5] Chen C,Yang FQ, Zuo H, et al. Applications of biochromatography in the screening of bioactive natural products[J].J Chroma Sci, 2013, 51(8): 780-790.
    [6] Luo H, Chen L, Li Z,et al.Frontal immunoaffinity chromatography with mass spectrometric detection:a method for finding active compounds from traditional Chinese herbs[J].Anal Chem, 2003, 75(16): 3994-3998.
    [7] Zhao X, Li Q, Bian L,et al.Using immobilized G-protein coupled receptors to screen bioactive traditional Chinese medicine compounds with multiple targets[J].J Pharm Biomed Anal, 2012, 70: 549-552.
    [8] Wang B, Deng J, Gao Y,et al.The screening toolbox of bioactive substances from natural products: a review[J].Fitoterapia, 2011, 82(8): 1141-1151.
    [9] Wang L,Ren J,Sun M,et al.A combined cell membrane chromatography and online HPLC/MS method for screening compounds from Radix Caulophylli acting on the human α1A-adrenoceptor[J]. J Pharm Biomed Anal,2010,51(5):1032-1036.
    [10] Zhang T, Han S, Huang J,et al.Combined fibroblast growth factor receptor 4 cell membrane chromatography online with high performance liquid chromatography/mass spectrometry to screen active compounds in Brassica albla[J].J Chromatogr B, 2013, 912: 85-92.
    [11] Yue Y, Xue H, Wang X.High-expression β1 adrenergic receptor/cell membrane chromatography method based on a target receptor to screen active ingredients from traditional Chinese medicines[J].J Sep Sci, 2014, 37(3): 244-249.
    [12] Chen X, Cao Y, Lv D, et al.Comprehensive two-dimensional HepG2/cell membrane chromatography/monolithic column/time of flight mass spectrometry system for screening anti-tumor components from herbal medicines[J].J Chromatogr A, 2012, 1242: 67-74.
    [13] Yakufu P, Qi H, Li M,et al.CCR4 expressing cells cultured adherently on a capillary wall and formaldehyde fixed as the stationary phase for ligand screening by ACE[J].Electrophoresis, 2013, 34(4): 531-540.
    [14] Woo CSJ, Lau JSH, El-Nezami H,et al.Herbal medicine: toxicity and recent trends in assessing their potential toxic effects[J].Adv Bot Res, 2012, 62: 365-384.
    [15] Ye F, Wang H, Jiang S,et al.Quality evaluation of commercial extracts of scutellaria baicalensis[J].Nutr Cancer, 2004, 49(2): 217-222.
    [16] Ren G, Fan X, Liang Q,et al.Screening and evaluation of traditional Chinese medicine by microarray expression analysis[J].J Ethnopharmacol, 2013, 147(3): 564-569.
    [17] Liu M, Fan J, Wang S,et al.Transcriptional profiling of Chinese medicinal formula Si-Wu-Tang on breast cancer cells reveals phytoestrogenic activity[J].BMC Complement Altern Med, 2013, 13: 11-29.
    [18] Song YN, Zhang H, Guan Y,et al.Classification of traditional Chinese medicine syndromes in patients with chronic hepatitis B by SELDI-Based proteinchip analysis[J].Evid Based Complement Alternat Med, 2012,2012:626320.
    [19] Yao L, Dong W, Lu F,et al.An improved acute gouty arthritis rat model and therapeutic effect of Rhizoma dioscoreae nipponicae on acute gouty arthritis based on the protein-chip methods[J].Am J Chin Med, 2012, 40(1): 121-134.
    [20] Carr JA, Parashar A, Gibson R,et al.A microfluidic platform for high-sensitivity, real-time drug screening on C. elegans and parasitic nematodes[J].Lab Chip, 2011, 11(14): 2385-2396.
    [21] Sandoz A, Charvet I, Stoppini L,et al.Development of a microfluidic biochip for chronic monitoring of 3D neural tissues derived from human embryonic stem cells[J].Procedia Eng, 2013, 59: 46-50.
    [22] Behr J.The Lock-and-Key principle, the state of the art-100 years on[M].Chichester:Wiley, 1995: 1-336.
    [23] Hansch C.Quantitative approach to biochemical structure-activity relationships[J].Accounts Chem Res, 1969, 2(8): 232-239.
    [24] Ge H, Wang Y, Li C,et al.Molecular dynamics-based virtual screening: accelerating the drug discovery process by high-performance computing[J].J Chem Inf Model, 2013, 53(10): 2757-2764.
    [25] Lyne PD.Structure-based virtual screening: an overview[J].Drug Discov Today, 2002, 7(20): 1047-1055.
    [26] Irwin JJ, Shoichet BK.ZINC-a free database of commercially available compounds for virtual screening[J].J Chem Inf Model, 2005, 45(1): 177-182.
    [27] Chan AH, Wereszczynski J, Amer BR,et al. Discovery of Staphylococcus aureus sortase a inhibitors using virtual screening and the relaxed complex scheme[J].Chem Biol Drug Des, 2013, 82(4): 418-428.
    [28] Barlow DJ, Buriani A, Ehrman T,et al.In-silico studies in Chinese herbal medicines' research: evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date[J].J Ethnopharmacol, 2012, 140(3): 526-534.
    [29] Pitt WR, Calmiano MD, Kroeplien B,et al. Structure-based virtual screening for novel ligands[J]. Methods Mol Biol, 2013,1008: 501-519.
    [30] Ellingson SR, Dakshanamurthy S, Brown M,et al.Accelerating virtual high-throughput ligand docking: current technology and case study on a petascale supercomputer[J].Concurr Comp Pract E, 2013,26:1268-1277.
    [31] Lavecchia A, Di Giovanni C.Virtual screening strategies in drug discovery: acritical review[J].Curr Med Chem, 2013, 20(23): 2839-2860.
    [32] Karthick V, Ramanathan K.Virtual screening for oseltamivir-resistant a (H5N1) influenza neuraminidase from traditional Chinese medicine database: a combined molecular docking with molecular dynamics approach[J].Springer Plus, 2013, 2(1): 115-124.
    [33] Tian S, Sun H, Li Y,et al. Development and evaluation of an integrated virtual screening strategy by combining molecular docking and pharmacophore searching based on multiple protein structures[J].J Chem Inf Model, 2013, 53(10): 2743-2756.
    [34] Berger WT, Ralph BP, Kaczocha M,et al.Targeting fatty acid binding protein (FABP) anandamide transporters-a novel strategy for development of anti-inflammatory and anti-nociceptive drugs[J].PLos One, 2012, 7(12): e50968.
    [35] Wang E, Bussom S, Chen J,et al.Interaction of a traditional Chinese medicine (PHY906) and CPT-11 on the inflammatory process in the tumor microenvironment[J].BMC Med Genomics, 2011, 4(1): 38-50.
  • [1] 毛智毅, 王筱燕, 陈晓颖, 汤逸斐.  度拉糖肽联合二甲双胍对肥胖型2型糖尿病患者机体代谢、体脂成分及血清脂肪因子的影响 . 药学实践与服务, 2024, 42(7): 305-309. doi: 10.12206/j.issn.2097-2024.202305032
    [2] 景凯, 杨慈荣, 张圳, 臧艺蓓, 刘霞.  黄芪甲苷衍生物治疗慢性心力衰竭小鼠的药效评价及作用机制研究 . 药学实践与服务, 2024, 42(5): 190-197. doi: 10.12206/j.issn.2097-2024.202310004
    [3] 陈方剑, 骆锦前, 王志君, 胡叶帅, 孙煜昕, 宋洪杰.  HPLC-MS/MS同时测定感冒安颗粒中5种黄酮成分的含量 . 药学实践与服务, 2024, 42(9): 402-406. doi: 10.12206/j.issn.2097-2024.202403030
    [4] 李丹, 戴贤春, 王芳珍, 陈奕含, 杨萍, 刘继勇.  HPLC-MS/MS测定当归六黄汤中4种不同成分的含量 . 药学实践与服务, 2024, 42(6): 248-252, 266. doi: 10.12206/j.issn.2097-2024.202305007
    [5] 夏哲炜, 曾垣烨, 朱海菲, 李育, 陈啸飞.  核磁共振磷谱法测定磷酸氢钙咀嚼片中药物含量 . 药学实践与服务, 2024, 42(9): 399-401, 406. doi: 10.12206/j.issn.2097-2024.202404063
    [6] 陈静, 何瑞华, 翁月, 徐熠, 刘静, 黄瑾.  基于网络药理学和分子对接技术探究定清片活性成分治疗白血病的作用机制 . 药学实践与服务, 2024, 42(11): 479-486. doi: 10.12206/j.issn.2097-2024.202401073
    [7] 赖立勇, 夏天爽, 徐圣焱, 蒋益萍, 岳小强, 辛海量.  中药青蒿抗氧化活性的谱效关系研究 . 药学实践与服务, 2024, 42(5): 203-210, 216. doi: 10.12206/j.issn.2097-2024.202211012
  • 加载中
计量
  • 文章访问数:  6874
  • HTML全文浏览量:  1333
  • PDF下载量:  1155
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-02-21
  • 修回日期:  2014-07-18

中药活性成分的高通量筛选新技术

doi: 10.3969/j.issn.1006-0111.2015.03.001

摘要: 以近年来国内外研究文献为基础, 总结概括了近5年来中药活性成分的高通量筛选新技术的进展情况。其中生物色谱技术、芯片技术和计算机辅助虚拟筛选等技术得到了广泛应用。这些新技术在中药活性成分筛选方面, 比起传统方法具有效率高、自动化、通量高的优点, 可以为中药活性成分的高通量筛选提供新思路。

English Abstract

丁璇, 洪战英, 柴逸峰. 中药活性成分的高通量筛选新技术[J]. 药学实践与服务, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
引用本文: 丁璇, 洪战英, 柴逸峰. 中药活性成分的高通量筛选新技术[J]. 药学实践与服务, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
DING Xuan, HONG Zhanying, CHAI Yifeng. New technologies for high throughput screening of effective traditional Chinese medicine components[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
Citation: DING Xuan, HONG Zhanying, CHAI Yifeng. New technologies for high throughput screening of effective traditional Chinese medicine components[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(3): 193-197. doi: 10.3969/j.issn.1006-0111.2015.03.001
参考文献 (35)

目录

    /

    返回文章
    返回