PMC:7275133 / 6105-6378
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 137 | 57-59 | Gene | denotes | of | Gene:6688 |
| 146 | 219-225 | Disease | denotes | stress | MESH:D000079225 |
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T1 | 32-35 | Body_part | denotes | arm | http://purl.org/sig/ont/fma/fma24890 |
| T2 | 171-176 | Body_part | denotes | heart | http://purl.org/sig/ont/fma/fma7088 |
| T3 | 183-187 | Body_part | denotes | body | http://purl.org/sig/ont/fma/fma256135 |
LitCovid-PD-UBERON
| Id | Subject | Object | Predicate | Lexical cue | uberon_id |
|---|---|---|---|---|---|
| T2 | 32-35 | Body_part | denotes | arm | http://purl.obolibrary.org/obo/UBERON_0001460 |
| T3 | 171-176 | Body_part | denotes | heart | http://purl.obolibrary.org/obo/UBERON_0000948 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T41 | 24-31 | http://purl.obolibrary.org/obo/OBI_0000968 | denotes | devices |
| T42 | 32-35 | http://www.ebi.ac.uk/efo/EFO_0001410 | denotes | arm |
| T43 | 66-74 | http://purl.obolibrary.org/obo/CLO_0001658 | denotes | activity |
| T44 | 171-176 | http://purl.obolibrary.org/obo/UBERON_0000948 | denotes | heart |
| T45 | 171-176 | http://purl.obolibrary.org/obo/UBERON_0007100 | denotes | heart |
| T46 | 171-176 | http://purl.obolibrary.org/obo/UBERON_0015228 | denotes | heart |
| T47 | 171-176 | http://www.ebi.ac.uk/efo/EFO_0000815 | denotes | heart |
| T48 | 188-191 | http://purl.obolibrary.org/obo/UBERON_0001013 | denotes | fat |
LitCovid-PD-GO-BP
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T1 | 204-209 | http://purl.obolibrary.org/obo/GO_0030431 | denotes | sleep |
| T2 | 234-249 | http://purl.obolibrary.org/obo/GO_0044850 | denotes | menstrual cycle |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T39 | 0-273 | Sentence | denotes | Personalized healthcare devices arm users with snapshots of their activity and recovery data and allow them to track advanced performance metrics including step tracking, heart rate, body fat percentage, sleep quality, stress levels, menstrual cycle, and fertility windows. |