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Study on the material basis of cold and hot properties of traditional Chinese medicines in Lamiaceae based on pattern recognition
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Chuan-yao ZHANG1, Qing ZHOU2, Xiao WANG1, Fei-fei BU1, Peng WANG3, *
Acta Pharmaceutica Sinica | 2023, 58(2) : 429 - 438
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Acta Pharmaceutica Sinica | 2023, 58(2): 429-438
Original Articles
Study on the material basis of cold and hot properties of traditional Chinese medicines in Lamiaceae based on pattern recognition
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Chuan-yao ZHANG1, Qing ZHOU2, Xiao WANG1, Fei-fei BU1, Peng WANG3, *
Affiliations
  • 1. School of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei 230012, China
  • 2. School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei 230012, China
  • 3. Graduate School, Anhui University of Chinese Medicine, Hefei 230012, China
Published: 2023-02-12 doi: 10.16438/j.0513-4870.2022-1100
Outline
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To study the material basis of cold and hot properties of traditional Chinese medicines (TCMs) in Lamiaceae and to establish a cold and hot properties identification model, a database of material components of TCMs in Lamiaceae was established. A three-level classification system of material components was used to obtain the material basis of cold and hot properties of the Lamiaceae family by using data mining methods such as frequency analysis, association rule analysis, logistic regression, and feature selection. Several identification models were established to recognize the cold and hot properties. The chi-square test results showed that the material composition ratios of cold and hot properties were significantly different at the first-level, second-level, and third-level classification (P < 0.05), and the differences varied as the levels of substance classification changed. The average coefficients of variation were 42.30%, 79.07%, and 91.51% at the first-level, second-level, and third-level classification levels, respectively. In other words, in terms of the percentage differences in material composition ratio, the first-level was smaller than the second-level, and the second-level was smaller than the third-level. The results of the association rule analysis showed that under the third-level classification, there were many effective association rules, and 27 core groups and 34 specific groups of chemical components were obtained based on these rules. 15 decisive groups were obtained from the feature selection results. Multinomial logistic regression analysis was used to successfully establish a cold and hot properties identification model with an overall accuracy of 89%. The material basis of cold and hot properties of TCMs in Lamiaceae is different and intersect with each other. Twenty-seven groups of chemical components, such as bicyclic diterpenes, are the core groups of cold and hot properties, of which 15 groups are the decisive groups. The cold and hot properties are often characterized by the interaction of multiple classes of substances, and a single class of substances often cannot be used to characterize the properties. The organic combination of multiple classes of substances is the material basis of cold and hot properties.

pattern recognition  /  Lamiaceae  /  traditional Chinese medicine  /  cold and hot property  /  material basis  /  identification model
Chuan-yao ZHANG, Qing ZHOU, Xiao WANG, Fei-fei BU, Peng WANG. Study on the material basis of cold and hot properties of traditional Chinese medicines in Lamiaceae based on pattern recognition[J]. Acta Pharmaceutica Sinica, 2023 , 58 (2) : 429 -438 . DOI: 10.16438/j.0513-4870.2022-1100
Year 2023 volume 58 Issue 2
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Article Info
doi: 10.16438/j.0513-4870.2022-1100
  • Receive Date:2022-10-10
  • Online Date:2025-11-21
  • Published:2023-02-12
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History
  • Received:2022-10-10
  • Revised:2022-12-27
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Affiliations
    1. School of Traditional Chinese Medicine, Anhui University of Chinese Medicine, Hefei 230012, China
    2. School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei 230012, China
    3. Graduate School, Anhui University of Chinese Medicine, Hefei 230012, 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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