| Literature DB >> 34175822 |
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.Entities:
Keywords: Bioinformatics; Multi-omics technologies; Natural product; Single-cell-based techniques; Target discovery
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Year: 2021 PMID: 34175822 DOI: 10.1016/j.biopha.2021.111833
Source DB: PubMed Journal: Biomed Pharmacother ISSN: 0753-3322 Impact factor: 6.529