Literature DB >> 34175822

Application of omics- and multi-omics-based techniques for natural product target discovery.

Hong-Wei Zhang1, Chao Lv1, Li-Jun Zhang1, Xin Guo1, Yi-Wen Shen1, Dale G Nagle2, Yu-Dong Zhou3, San-Hong Liu4, Wei-Dong Zhang5, Xin Luan6.   

Abstract

Natural products continue to be an unparalleled source of pharmacologically active lead compounds because of their unprecedented structures and unique biological activities. Natural product target discovery is a vital component of natural product-based medicine translation and development and is required to understand and potentially reduce mechanisms that may be associated with off-target side effects and toxicity. Omics-based techniques, including genomics, transcriptomics, proteomics, metabolomics, and bioinformatics, have become recognized as effective tools needed to construct innovative strategies to discover natural product targets. Although considerable progress has been made, the successful discovery of natural product targets remains a challenging time-consuming process that has come to increasingly rely on the effective integration of multi-omics-based technologies to create emerging panomics (a.k.a., integrative omics, pan-omics, multiomics)-based strategies. This review summarizes a series of successful studies regarding the application of integrative omics-based methods in natural product target discovery. The advantages and disadvantages of each technique are discussed, with a particular focus on the systematic integration of multi-omics strategies. Further, emerging micro-scale single-cell-based techniques are introduced, especially to deal with minute natural product samples.
Copyright © 2021 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Multi-omics technologies; Natural product; Single-cell-based techniques; Target discovery

Mesh:

Substances:

Year:  2021        PMID: 34175822     DOI: 10.1016/j.biopha.2021.111833

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  4 in total

Review 1.  Biotechnological production of specialty aromatic and aromatic-derivative compounds.

Authors:  A Braga; N Faria
Journal:  World J Microbiol Biotechnol       Date:  2022-03-26       Impact factor: 3.312

Review 2.  Systems biology-guided understanding of white-rot fungi for biotechnological applications: A review.

Authors:  Teeratas Kijpornyongpan; Alexa Schwartz; Allison Yaguchi; Davinia Salvachúa
Journal:  iScience       Date:  2022-06-18

3.  SILAC-based chemoproteomics reveals a neoligan analogue as an anti-inflammatory agent targeting IRGM to ameliorate cytokine storm.

Authors:  Jichao Zhang; Yang Li; Guibing Meng; Kui Lu; Jiankun Yan; Jiangpeng Wu; Pengyan Li; Lingling Luo; Xi Chen; Xia Zhao; Feng Qiu
Journal:  Eur J Med Chem       Date:  2022-08-08       Impact factor: 7.088

4.  Dandelion extract inhibits triple-negative breast cancer cell proliferation by interfering with glycerophospholipids and unsaturated fatty acids metabolism.

Authors:  Shan Wang; Hui-Feng Hao; Yan-Na Jiao; Jia-Lei Fu; Zheng-Wang Guo; Yang Guo; Yuan Yuan; Ping-Ping Li; Shu-Yan Han
Journal:  Front Pharmacol       Date:  2022-09-06       Impact factor: 5.988

  4 in total

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