| dc.contributor.author | Ling, Chang-Quan | |
| dc.date.accessioned | 2020-04-21T01:59:07Z | |
| dc.date.available | 2020-04-21T01:59:07Z | |
| dc.date.issued | 2020-02-19 | |
| dc.identifier.uri | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7129043/ | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12663/1119 | |
| dc.description.abstract | This work highlights the prospect of computer-aided, structurebased traditional Chinese medicine drug discovery for the novel coronavirus pneumonia. These approaches helped to narrow down the large libraries of compounds into a subset in a relatively short time with limited resources; they also provided guidance for the future clinical use of TCM formulas. | en_US |
| dc.language | English | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Coronavirus | en_US |
| dc.subject | SARS-CoV | en_US |
| dc.subject | Medicine, Chinese Traditional | en_US |
| dc.title | Traditional Chinese Medicine Is a Resource for Drug Discovery Against 2019 Novel Coronavirus (SARS-CoV-2) | en_US |
| eihealth.country | Others | en_US |
| eihealth.category | Candidate therapeutics RD | en_US |
| eihealth.type | Published Article | en_US |
| eihealth.maincategory | Save Lives / Salvar Vidas | en_US |
| dc.relation.ispartofjournal | Journal of integrative medicine | en_US |
