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Label-free target identification for natural products based on proteomics
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Rui-fang DONG, Yuan-zheng XIA*, Ling-yi KONG*
Acta Pharmaceutica Sinica | 2023, 58(8) : 2000 - 2015
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Acta Pharmaceutica Sinica | 2023, 58(8): 2000-2015
Label-free target identification for natural products based on proteomics
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Rui-fang DONG, Yuan-zheng XIA*, Ling-yi KONG*
Affiliations
  • Jiangsu Key Laboratory of Bioactive Natural Product Research, State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 210009, China
Published: 2023-08-12 doi: 10.16438/j.0513-4870.2023-0648
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Target identification and verification of natural products is an important and challenging work in the field of chemical biology. It is also an important job for researchers to apply chemical proteomics technology to biomedicine in order to identify target proteins of natural products. Target identification is critical to understanding its mechanisms and developing natural products as molecular probes and potential therapeutic drugs. Traditional approaches of small molecule target identification based on affinity have been shown to be successful, such as click-chemical probes, radioisotope labeling or photosensitized small-molecule probes. Nevertheless, these technologies require purified candidate target proteins, and modified small molecules with probes or linkers, such as adding agarose beads, biotin labels, fluorescent labeling or photo-affinity labeling. Many structure-activity relationship studies should be performed to ensure that the addition of small molecule labels undisturbed the original biological activity of the small molecules. Unfortunately, all these modifications are likely to alter their biological activity or binding specificity. To overcome the bottleneck of "target recognition", researchers have developed a series of new techniques for unmodified drug target identification. In this article, we reviewed the target identification techniques of natural product without structural modification in order to provide reference for the development of natural products.

label-free  /  natural product  /  target identification  /  mass spectrum  /  proteomics
Rui-fang DONG, Yuan-zheng XIA, Ling-yi KONG. Label-free target identification for natural products based on proteomics[J]. Acta Pharmaceutica Sinica, 2023 , 58 (8) : 2000 -2015 . DOI: 10.16438/j.0513-4870.2023-0648
Year 2023 volume 58 Issue 8
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doi: 10.16438/j.0513-4870.2023-0648
  • Receive Date:2023-05-18
  • Online Date:2025-11-21
  • Published:2023-08-12
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  • Received:2023-05-18
  • Revised:2023-07-12
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    Jiangsu Key Laboratory of Bioactive Natural Product Research, State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 210009, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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