Open AccessComposition decipherment of Ficus pumila var. awkeotsang and its potential on COVID-19 symptom amelioration and in silico prediction of SARS-CoV-2 interference.
Author(s) -
Hao-Chun Hu,
Szu-Yin Yu,
Xiao-Shan Hung,
ChunHan Su,
Yuliang Yang,
Chien-Kei Wei,
YuanBin Cheng,
YangChang Wu,
Chia-Hung Yen,
TsongLong Hwang,
Shuli Chen,
István Szatmári,
Attila Hunyadi,
YiHong Tsai,
FangRong Chang
Publication year - 2022
Publication title -
journal of food and drug analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.277
H-Index - 54
eISSN - 2224-6614
pISSN - 1021-9498
DOI - 10.38212/2224-6614.3419
Subject(s) - decipherment , covid-19 , ficus , biology , in silico , ecology , botany , medicine , virology , geography , biochemistry , disease , gene , infectious disease (medical specialty) , archaeology , outbreak
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