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In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus
OBJECTIVE: In this study we execute a rational screen to identify Chinese medical herbs that are commonly used in treating viral respiratory infections and also contain compounds that might directly inhibit 2019 novel coronavirus (2019-nCoV), an ongoing novel coronavirus that causes pneumonia. METHO...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai Changhai Hospital. Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102521/ https://www.ncbi.nlm.nih.gov/pubmed/32113846 http://dx.doi.org/10.1016/j.joim.2020.02.005 |
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author | Zhang, Deng-hai Wu, Kun-lun Zhang, Xue Deng, Sheng-qiong Peng, Bin |
author_facet | Zhang, Deng-hai Wu, Kun-lun Zhang, Xue Deng, Sheng-qiong Peng, Bin |
author_sort | Zhang, Deng-hai |
collection | PubMed |
description | OBJECTIVE: In this study we execute a rational screen to identify Chinese medical herbs that are commonly used in treating viral respiratory infections and also contain compounds that might directly inhibit 2019 novel coronavirus (2019-nCoV), an ongoing novel coronavirus that causes pneumonia. METHODS: There were two main steps in the screening process. In the first step we conducted a literature search for natural compounds that had been biologically confirmed as against sever acute respiratory syndrome coronavirus or Middle East respiratory syndrome coronavirus. Resulting compounds were cross-checked for listing in the Traditional Chinese Medicine Systems Pharmacology Database. Compounds meeting both requirements were subjected to absorption, distribution, metabolism and excretion (ADME) evaluation to verify that oral administration would be effective. Next, a docking analysis was used to test whether the compound had the potential for direct 2019-nCoV protein interaction. In the second step we searched Chinese herbal databases to identify plants containing the selected compounds. Plants containing 2 or more of the compounds identified in our screen were then checked against the catalogue for classic herbal usage. Finally, network pharmacology analysis was used to predict the general in vivo effects of each selected herb. RESULTS: Of the natural compounds screened, 13 that exist in traditional Chinese medicines were also found to have potential anti-2019-nCoV activity. Further, 125 Chinese herbs were found to contain 2 or more of these 13 compounds. Of these 125 herbs, 26 are classically catalogued as treating viral respiratory infections. Network pharmacology analysis predicted that the general in vivo roles of these 26 herbal plants were related to regulating viral infection, immune/inflammation reactions and hypoxia response. CONCLUSION: Chinese herbal treatments classically used for treating viral respiratory infection might contain direct anti-2019-nCoV compounds. |
format | Online Article Text |
id | pubmed-7102521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Shanghai Changhai Hospital. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71025212020-03-31 In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus Zhang, Deng-hai Wu, Kun-lun Zhang, Xue Deng, Sheng-qiong Peng, Bin J Integr Med Article OBJECTIVE: In this study we execute a rational screen to identify Chinese medical herbs that are commonly used in treating viral respiratory infections and also contain compounds that might directly inhibit 2019 novel coronavirus (2019-nCoV), an ongoing novel coronavirus that causes pneumonia. METHODS: There were two main steps in the screening process. In the first step we conducted a literature search for natural compounds that had been biologically confirmed as against sever acute respiratory syndrome coronavirus or Middle East respiratory syndrome coronavirus. Resulting compounds were cross-checked for listing in the Traditional Chinese Medicine Systems Pharmacology Database. Compounds meeting both requirements were subjected to absorption, distribution, metabolism and excretion (ADME) evaluation to verify that oral administration would be effective. Next, a docking analysis was used to test whether the compound had the potential for direct 2019-nCoV protein interaction. In the second step we searched Chinese herbal databases to identify plants containing the selected compounds. Plants containing 2 or more of the compounds identified in our screen were then checked against the catalogue for classic herbal usage. Finally, network pharmacology analysis was used to predict the general in vivo effects of each selected herb. RESULTS: Of the natural compounds screened, 13 that exist in traditional Chinese medicines were also found to have potential anti-2019-nCoV activity. Further, 125 Chinese herbs were found to contain 2 or more of these 13 compounds. Of these 125 herbs, 26 are classically catalogued as treating viral respiratory infections. Network pharmacology analysis predicted that the general in vivo roles of these 26 herbal plants were related to regulating viral infection, immune/inflammation reactions and hypoxia response. CONCLUSION: Chinese herbal treatments classically used for treating viral respiratory infection might contain direct anti-2019-nCoV compounds. Shanghai Changhai Hospital. Published by Elsevier B.V. 2020-03 2020-02-20 /pmc/articles/PMC7102521/ /pubmed/32113846 http://dx.doi.org/10.1016/j.joim.2020.02.005 Text en © 2020 Shanghai Changhai Hospital Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zhang, Deng-hai Wu, Kun-lun Zhang, Xue Deng, Sheng-qiong Peng, Bin In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
title | In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
title_full | In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
title_fullStr | In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
title_full_unstemmed | In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
title_short | In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
title_sort | in silico screening of chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102521/ https://www.ncbi.nlm.nih.gov/pubmed/32113846 http://dx.doi.org/10.1016/j.joim.2020.02.005 |
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