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Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang
BACKGROUND: Ding Chuan Tang (DCT), a traditional Chinese herbal formula, has been consistently prescribed for the therapeutic management of wheezing and asthma-related indications since the Song Dynasty (960–1279 AD). This study aimed to identify molecular network pharmacology connections to underst...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060917/ https://www.ncbi.nlm.nih.gov/pubmed/32185106 http://dx.doi.org/10.7717/peerj.8685 |
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author | Clyne, Allison Yang, Liping Yang, Ming May, Brian Yang, Angela Wei Hong |
author_facet | Clyne, Allison Yang, Liping Yang, Ming May, Brian Yang, Angela Wei Hong |
author_sort | Clyne, Allison |
collection | PubMed |
description | BACKGROUND: Ding Chuan Tang (DCT), a traditional Chinese herbal formula, has been consistently prescribed for the therapeutic management of wheezing and asthma-related indications since the Song Dynasty (960–1279 AD). This study aimed to identify molecular network pharmacology connections to understand the biological asthma-linked mechanisms of action of DCT and potentially identify novel avenues for asthma drug development. METHODS: Employing molecular docking (AutoDock Vina) and computational analysis (Cytoscape 3.6.0) strategies for DCT compounds permitted examination of docking connections for proteins that were targets of DCT compounds and asthma genes. These identified protein targets were further analyzed to establish and interpret network connections associated with asthma disease pathways. RESULTS: A total of 396 DCT compounds and 234 asthma genes were identified through database search. Computational molecular docking of DCT compounds identified five proteins (ESR1, KDR, LTA4H, PDE4D and PPARG) mutually targeted by asthma genes and DCT compounds and 155 docking connections associated with cellular pathways involved in the biological mechanisms of asthma. CONCLUSIONS: DCT compounds directly target biological pathways connected with the pathogenesis of asthma including inflammatory and metabolic signaling pathways. |
format | Online Article Text |
id | pubmed-7060917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70609172020-03-17 Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang Clyne, Allison Yang, Liping Yang, Ming May, Brian Yang, Angela Wei Hong PeerJ Computational Biology BACKGROUND: Ding Chuan Tang (DCT), a traditional Chinese herbal formula, has been consistently prescribed for the therapeutic management of wheezing and asthma-related indications since the Song Dynasty (960–1279 AD). This study aimed to identify molecular network pharmacology connections to understand the biological asthma-linked mechanisms of action of DCT and potentially identify novel avenues for asthma drug development. METHODS: Employing molecular docking (AutoDock Vina) and computational analysis (Cytoscape 3.6.0) strategies for DCT compounds permitted examination of docking connections for proteins that were targets of DCT compounds and asthma genes. These identified protein targets were further analyzed to establish and interpret network connections associated with asthma disease pathways. RESULTS: A total of 396 DCT compounds and 234 asthma genes were identified through database search. Computational molecular docking of DCT compounds identified five proteins (ESR1, KDR, LTA4H, PDE4D and PPARG) mutually targeted by asthma genes and DCT compounds and 155 docking connections associated with cellular pathways involved in the biological mechanisms of asthma. CONCLUSIONS: DCT compounds directly target biological pathways connected with the pathogenesis of asthma including inflammatory and metabolic signaling pathways. PeerJ Inc. 2020-03-05 /pmc/articles/PMC7060917/ /pubmed/32185106 http://dx.doi.org/10.7717/peerj.8685 Text en © 2020 Clyne et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Computational Biology Clyne, Allison Yang, Liping Yang, Ming May, Brian Yang, Angela Wei Hong Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang |
title | Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang |
title_full | Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang |
title_fullStr | Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang |
title_full_unstemmed | Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang |
title_short | Molecular docking and network connections of active compounds from the classical herbal formula Ding Chuan Tang |
title_sort | molecular docking and network connections of active compounds from the classical herbal formula ding chuan tang |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060917/ https://www.ncbi.nlm.nih.gov/pubmed/32185106 http://dx.doi.org/10.7717/peerj.8685 |
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