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Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19

Rhizoma Polygonati (Chinese name as 黄精, pinyin as huangjing), as medicine and food homology of Traditional Chinese Medicine, has been recently applied for the complex prescriptions of alternative medicine for treatment of COVID-19 but the mechanisms are largely unclear. Here using public database se...

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Autores principales: Mu, Chenglin, Sheng, Yifan, Wang, Qian, Amin, Amr, Li, Xugang, Xie, Yingqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683227/
https://www.ncbi.nlm.nih.gov/pubmed/33251300
http://dx.doi.org/10.1016/j.dib.2020.106475
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author Mu, Chenglin
Sheng, Yifan
Wang, Qian
Amin, Amr
Li, Xugang
Xie, Yingqiu
author_facet Mu, Chenglin
Sheng, Yifan
Wang, Qian
Amin, Amr
Li, Xugang
Xie, Yingqiu
author_sort Mu, Chenglin
collection PubMed
description Rhizoma Polygonati (Chinese name as 黄精, pinyin as huangjing), as medicine and food homology of Traditional Chinese Medicine, has been recently applied for the complex prescriptions of alternative medicine for treatment of COVID-19 but the mechanisms are largely unclear. Here using public database search and filtering the potential chemical compound based drug targets with COVID-19 targets mapped, the list of data were provided and suggested pharmacokinetic tolerating dose of selected natural compounds were further collected from database. The data provided is the supplementary as a reference showing the intersections of Rhizoma Polygonati druggable targets of lists from current database and potentially related ones targeting COVID-19.
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spelling pubmed-76832272020-11-27 Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19 Mu, Chenglin Sheng, Yifan Wang, Qian Amin, Amr Li, Xugang Xie, Yingqiu Data Brief Data Article Rhizoma Polygonati (Chinese name as 黄精, pinyin as huangjing), as medicine and food homology of Traditional Chinese Medicine, has been recently applied for the complex prescriptions of alternative medicine for treatment of COVID-19 but the mechanisms are largely unclear. Here using public database search and filtering the potential chemical compound based drug targets with COVID-19 targets mapped, the list of data were provided and suggested pharmacokinetic tolerating dose of selected natural compounds were further collected from database. The data provided is the supplementary as a reference showing the intersections of Rhizoma Polygonati druggable targets of lists from current database and potentially related ones targeting COVID-19. Elsevier 2020-10-30 /pmc/articles/PMC7683227/ /pubmed/33251300 http://dx.doi.org/10.1016/j.dib.2020.106475 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Mu, Chenglin
Sheng, Yifan
Wang, Qian
Amin, Amr
Li, Xugang
Xie, Yingqiu
Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19
title Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19
title_full Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19
title_fullStr Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19
title_full_unstemmed Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19
title_short Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19
title_sort dataset of potential rhizoma polygonati compound-druggable targets and partial pharmacokinetics for treatment of covid-19
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683227/
https://www.ncbi.nlm.nih.gov/pubmed/33251300
http://dx.doi.org/10.1016/j.dib.2020.106475
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