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. 2020 Oct 30:33:106475.
doi: 10.1016/j.dib.2020.106475. eCollection 2020 Dec.

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

Chenglin Mu  1   2 , Yifan Sheng  3 , Qian Wang  4 , Amr Amin  5 , Xugang Li  1   2 , Yingqiu Xie  6
Affiliations

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

Chenglin Mu et al. Data Brief. .

Abstract

Rhizoma Polygonati (Chinese name as , 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.

Keywords: COVID-19; COVID-19, corona virus disease-2019; DL, drug-like; Huangjing; OB, Oral bioavailability; Rhizoma Polygonati; TCMSP, Chinese Medicine System Pharmacology Database and Analysis Platform; Traditional Chinese Medicine.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

References

    1. Ahmed SS, Ramakrishnan V. Systems biological approach of molecular descriptors connectivity: optimal descriptors for oral bioavailability prediction. PLoS One. 2012;7(7):e40654. doi: 10.1371/journal.pone.0040654. Epub 2012 Jul 16PMID: 22815781PMCID: PMC3398012. - DOI - PMC - PubMed
    1. Ru J. TCMSP: a database of systems pharmacology for drug discovery from herbal medicines. J Cheminform. 2014;6:13. - PMC - PubMed
    1. Ahmed S.S., Ramakrishnan V. Systems biological approach of molecular descriptors connectivity: optimal descriptors for oral bioavailability prediction. PLoS One. 2012;7(7):e40654. - PMC - PubMed
    1. Xu X. A novel chemometric method for the prediction of human oral bioavailability. Int J Mol Sci. 2012;13(6):6964–6982. - PMC - PubMed
    1. Daina A., Michielin O., Zoete V. Swiss target prediction: updated data and new features for efficient prediction of protein targets of small molecules. Nucleic Acids Res. 2019;47(W1):W357–W364. - PMC - PubMed

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