Dereplication strategies in natural product research: How many tools and methodologies behind the same concept?

被引:0
|
作者
Jane Hubert
Jean-Marc Nuzillard
Jean-Hugues Renault
机构
[1] Université de Reims Champagne-Ardenne,Institut de Chimie Moléculaire de Reims (UMR CNRS 7312), SFR CAP’SANTE, UFR de Pharmacie
来源
Phytochemistry Reviews | 2017年 / 16卷
关键词
Dereplication; Natural products; Metabolomics; Drug discovery; Taxonomic classification;
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学科分类号
摘要
The development of new drugs will certainly benefit from an ever improving knowledge of the living beings chemistry. However, identification of drugable molecules within the immense biodiversity of forests, soils or oceans still requires considerable investments in technical equipments, time and human resources. An important part of this process is the quick identification of known substances in order to concentrate the efforts on the discovery of new ones. A range of “dereplication” procedures are currently emerging to meet this challenge as key strategies to improve the performance of natural product screening programs. Initially defined in 1990 as “a process of quickly identifying known chemotypes”, dereplication is today a not so univocal concept and has evolved over the last years in different ways. The present review covers all dereplication-related sudies in natural product research from 1990 to 2014. Its writing brought to light five distinct dereplication workflows that can be characterized by the nature of starting materials, by the selected analytical technique, and above all by the final objective. Dereplication can be used as an untargeted workflow for the rapid identification of the major compounds whatever their chemical class in a single sample or for the acceleration of bioactivity-guided fractionation procedures. In other cases dereplication is fully integrated in metabolomic studies for the untargeted chemical profiling of natural extract collections or for the targeted identification of a predetermined class of metabolites. Finally a quite distinct dereplication approach mainly based on gene-sequence analyses is frequently used for the taxonomic identification of microbial strains.
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页码:55 / 95
页数:40
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  • [1] Dereplication strategies in natural product research: How many tools and methodologies behind the same concept?
    Hubert, Jane
    Nuzillard, Jean-Marc
    Renault, Jean-Hugues
    [J]. PHYTOCHEMISTRY REVIEWS, 2017, 16 (01) : 55 - 95
  • [3] Metabolomics and dereplication strategies in the discovery of natural product derived drugs
    Tawfike, A. F.
    Tawfik, N.
    Edrada-Ebel, R.
    [J]. PLANTA MEDICA, 2015, 81 (16) : 1403 - 1404
  • [4] De-inventing the wheel: Dereplication tools for natural products research
    El-Elimat, T.
    Ehrmann, B. M.
    Cech, N. B.
    Pearce, C. J.
    Oberlies, N. H.
    [J]. PLANTA MEDICA, 2012, 78 (11) : 1263 - 1263
  • [5] Burning the hay to find the needle data mining strategies in natural product dereplication
    Wolf, D.
    Siems, K.
    [J]. CHIMIA, 2007, 61 (06) : 339 - 345
  • [6] Various dereplication strategies using LC-MS for rapid natural product lead identification and drug discovery
    Sashidhara, Koneni V.
    Rosaiah, Jammikuntla N.
    [J]. NATURAL PRODUCT COMMUNICATIONS, 2007, 2 (02) : 193 - 202
  • [7] Emerging molecular biology tools and strategies for engineering natural product biosynthesis
    Xu, Wei
    Klumbys, Evaldas
    Ang, Ee Lui
    Zhao, Huimin
    [J]. METABOLIC ENGINEERING COMMUNICATIONS, 2020, 10
  • [8] Bioassays in natural product research - Strategies and methods in the search for bioactive natural products
    Bohlin, L.
    Felth, J.
    Stromstedt, A.
    [J]. PLANTA MEDICA, 2014, 80 (10) : 753 - 753
  • [9] Research on evaluation methodologies of product life cycle engineering design (LCED) and development of its tools
    Yi Jianjun
    Ji Baiyang
    Guan Yifeng
    Dong Jinxiang
    Li Chenggang
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2008, 21 (08) : 923 - 942
  • [10] Optimal Product-Sampling Strategies in Social Networks: How Many and Whom to Target?
    Schlereth, Christian
    Barrot, Christian
    Skiera, Bernd
    Takac, Carsten
    [J]. INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2013, 18 (01) : 45 - 72