@article{ba86567865df4a5fbec687b559f8cae4,
title = "Dataset of potential Rhizoma Polygonati compound-druggable targets and partial pharmacokinetics for treatment of COVID-19",
abstract = "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.",
keywords = "COVID-19, Huangjing, Rhizoma Polygonati, Traditional Chinese Medicine",
author = "Chenglin Mu and Yifan Sheng and Qian Wang and Amr Amin and Xugang Li and Yingqiu Xie",
note = "Funding Information: Thank ZCHS fund # 31R174 for Amr Amin. Thank the Nazarbayev University Faculty-Development Competitive Research Program (ID: 15798117; 110119FD4531 ) to Yingqiu Xie and United Arab Emirates University (UAEU)-Asian Universities Alliance (AUA) Research Fellowship grant support to Yingqiu Xie and Amr Amin. Thank the Shandong Province Tai'an city grant of Agricultural Poverty Alleviation. Funding Information: Thank ZCHS fund # 31R174 for Amr Amin. Thank the Nazarbayev University Faculty-Development Competitive Research Program (ID: 15798117; 110119FD4531) to Yingqiu Xie and United Arab Emirates University (UAEU)-Asian Universities Alliance (AUA) Research Fellowship grant support to Yingqiu Xie and Amr Amin. Thank the Shandong Province Tai'an city grant of Agricultural Poverty Alleviation. Publisher Copyright: {\textcopyright} 2020",
year = "2020",
month = dec,
doi = "10.1016/j.dib.2020.106475",
language = "English",
volume = "33",
journal = "Data in Brief",
issn = "2352-3409",
publisher = "Elsevier BV",
}