PMC:7102556 / 10303-10567
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
213 | 130-131 | Gene | denotes | S | Gene:43740568 |
220 | 53-61 | Species | denotes | SARS-CoV | Tax:694009 |
221 | 159-168 | Species | denotes | 2019-nCoV | Tax:2697049 |
222 | 172-180 | Species | denotes | SARS-CoV | Tax:694009 |
223 | 214-217 | Species | denotes | CoV | Tax:11118 |
226 | 93-112 | Disease | denotes | 2019-nCoV infection | MESH:C000657245 |
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T60 | 132-139 | Body_part | denotes | protein | http://purl.org/sig/ont/fma/fma67257 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T34 | 53-61 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
T35 | 93-112 | Disease | denotes | 2019-nCoV infection | http://purl.obolibrary.org/obo/MONDO_0100096 |
T36 | 103-112 | Disease | denotes | infection | http://purl.obolibrary.org/obo/MONDO_0005550 |
T37 | 172-180 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T116 | 170-171 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T117 | 210-213 | http://purl.obolibrary.org/obo/NCBITaxon_9397 | denotes | bat |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T53 | 132-139 | Chemical | denotes | protein | http://purl.obolibrary.org/obo/CHEBI_36080 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T64 | 0-264 | Sentence | denotes | Therefore, to predict whether vaccines developed for SARS-CoV will also be effective against 2019-nCoV infection, the full length S protein sequences from the 2019-nCoV, a SARS-CoV, and two genetically similar bat CoV strains were selected for alignment (Fig. 1 ). |