Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code

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

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

doi: 10.3969/j.issn.1006-0111.2015.03.001
  • Received Date: 2014-02-21
  • Rev Recd Date: 2014-07-18
  • The research progress on new technologies for high throughput screening of effective traditional Chinese medicine (TCM) components was summarized based on the recent documents at home and abroad, among which bio-chromatography, chip-technology and computer-aided virtual screen technology were widely used. Compared with traditional screening technology, those new ones had shown advantages in efficiency, automation and high-throughput, providing new ways to screen effective components of TCM with high throughput.
  • [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.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(6685) PDF downloads(1147) Cited by()

Related
Proportional views

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

doi: 10.3969/j.issn.1006-0111.2015.03.001

Abstract: The research progress on new technologies for high throughput screening of effective traditional Chinese medicine (TCM) components was summarized based on the recent documents at home and abroad, among which bio-chromatography, chip-technology and computer-aided virtual screen technology were widely used. Compared with traditional screening technology, those new ones had shown advantages in efficiency, automation and high-throughput, providing new ways to screen effective components of TCM with high throughput.

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
Reference (35)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return