PMC:7755033 / 10104-10584
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 217 | 136-144 | Disease | denotes | toxicity | MESH:D064420 |
LitCovid-PD-HP
| Id | Subject | Object | Predicate | Lexical cue | hp_id |
|---|---|---|---|---|---|
| T7 | 300-308 | Phenotype | denotes | plethora | http://purl.obolibrary.org/obo/HP_0001050 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T67 | 17-215 | Sentence | denotes | Computational techniques can filter and predict the druglikeness, absorption, distribution, metabolism, excretion, and toxicity (ADMET) criteria of a prospective drug candidate (Cheng et al., 2012). |
| T68 | 216-440 | Sentence | denotes | In this context, Ayurveda, the Indian traditional system of medicine encompassing a plethora of medicinal plants and their phytoconstituents(s) with proven diverse pharmacological activities, has remained largely unexplored. |