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“Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis

[Image: see text] Traditional Chinese medicines (TCMs) have wide pharmacological activities, and the ingredients in individual TCMs determine their efficacies. To understand the “efficacy–nature–structure” relationship of TCM, compounds from 2444 kinds of herbs were collected, and the associations b...

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Autores principales: Shao, Xin-Xin, Chen, Cong, Liang, Meng-Meng, Yu, Zhi-yuan, Zhang, Feng-Cong, Zhou, Meng-jie, Wang, Zhen-guo, Fu, Xian-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675060/
https://www.ncbi.nlm.nih.gov/pubmed/34926906
http://dx.doi.org/10.1021/acsomega.1c04440
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author Shao, Xin-Xin
Chen, Cong
Liang, Meng-Meng
Yu, Zhi-yuan
Zhang, Feng-Cong
Zhou, Meng-jie
Wang, Zhen-guo
Fu, Xian-Jun
author_facet Shao, Xin-Xin
Chen, Cong
Liang, Meng-Meng
Yu, Zhi-yuan
Zhang, Feng-Cong
Zhou, Meng-jie
Wang, Zhen-guo
Fu, Xian-Jun
author_sort Shao, Xin-Xin
collection PubMed
description [Image: see text] Traditional Chinese medicines (TCMs) have wide pharmacological activities, and the ingredients in individual TCMs determine their efficacies. To understand the “efficacy–nature–structure” relationship of TCM, compounds from 2444 kinds of herbs were collected, and the associations between family, structure, nature, and biological activities were mined and analyzed. Bernoulli Naïve Bayes profiling and a data analysis method were used to predict the targets of compounds. The results show that genetic material determined the representation of ingredients from herbs and the nature of TCMs and that the superior scaffolds of compounds of cold nature were 2-phenylochrotinone, anthraquinone, and coumarin, while the compounds of hot nature were cyclohexene. The results of the similarity analysis and distribution for molecular descriptors of compounds show that compounds associated with the same nature were similar and compounds associated with different natures occurred as a transition in part. As for integral compounds from 2-phenylochrotinone, anthraquinone, coumarin, and cyclohexene, the value of the shape index increased, indicating the transition of scaffolds from a spherical structure to a linear structure, with various molecular descriptors decreasing. Three medicines and three recipes prescribed based on “efficacy–nature–structure” had a higher survival rate in the clinic and provided powerful evidence for TCM principles. The research improves the understanding of the “efficacy–nature–structure” relationship and extends TCM applications.
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spelling pubmed-86750602021-12-17 “Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis Shao, Xin-Xin Chen, Cong Liang, Meng-Meng Yu, Zhi-yuan Zhang, Feng-Cong Zhou, Meng-jie Wang, Zhen-guo Fu, Xian-Jun ACS Omega [Image: see text] Traditional Chinese medicines (TCMs) have wide pharmacological activities, and the ingredients in individual TCMs determine their efficacies. To understand the “efficacy–nature–structure” relationship of TCM, compounds from 2444 kinds of herbs were collected, and the associations between family, structure, nature, and biological activities were mined and analyzed. Bernoulli Naïve Bayes profiling and a data analysis method were used to predict the targets of compounds. The results show that genetic material determined the representation of ingredients from herbs and the nature of TCMs and that the superior scaffolds of compounds of cold nature were 2-phenylochrotinone, anthraquinone, and coumarin, while the compounds of hot nature were cyclohexene. The results of the similarity analysis and distribution for molecular descriptors of compounds show that compounds associated with the same nature were similar and compounds associated with different natures occurred as a transition in part. As for integral compounds from 2-phenylochrotinone, anthraquinone, coumarin, and cyclohexene, the value of the shape index increased, indicating the transition of scaffolds from a spherical structure to a linear structure, with various molecular descriptors decreasing. Three medicines and three recipes prescribed based on “efficacy–nature–structure” had a higher survival rate in the clinic and provided powerful evidence for TCM principles. The research improves the understanding of the “efficacy–nature–structure” relationship and extends TCM applications. American Chemical Society 2021-12-01 /pmc/articles/PMC8675060/ /pubmed/34926906 http://dx.doi.org/10.1021/acsomega.1c04440 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Shao, Xin-Xin
Chen, Cong
Liang, Meng-Meng
Yu, Zhi-yuan
Zhang, Feng-Cong
Zhou, Meng-jie
Wang, Zhen-guo
Fu, Xian-Jun
“Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis
title “Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis
title_full “Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis
title_fullStr “Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis
title_full_unstemmed “Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis
title_short “Efficacy–Nature–Structure” Relationship of Traditional Chinese Medicine Based on Chemical Structural Data and Bioinformatics Analysis
title_sort “efficacy–nature–structure” relationship of traditional chinese medicine based on chemical structural data and bioinformatics analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675060/
https://www.ncbi.nlm.nih.gov/pubmed/34926906
http://dx.doi.org/10.1021/acsomega.1c04440
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