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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.
  • Mu C; State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Daizong Street 61, Tai'an, 271018, China.
  • Sheng Y; Sino German Joint Research Center for Agricultural Biology, College of Life Sciences, Shandong Agricultural University, Daizong Street 61, Tai'an, 271018, China.
  • Wang Q; College of Life Science, Northeast Agricultural University, Harbin, 150030, China.
  • Amin A; Tai'an Xianlu Food Co. Ltd., Tai'an, China.
  • Li X; Biology Department, UAE University, Al Ain 15551, UAE.
  • Xie Y; State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Daizong Street 61, Tai'an, 271018, China.
Data Brief ; 33: 106475, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1023538
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.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Traditional medicine Language: English Journal: Data Brief Year: 2020 Document Type: Article Affiliation country: J.dib.2020.106475

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Full text: Available Collection: International databases Database: MEDLINE Topics: Traditional medicine Language: English Journal: Data Brief Year: 2020 Document Type: Article Affiliation country: J.dib.2020.106475