PMC:7247521 / 5449-6439
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
107 | 125-133 | Disease | denotes | COVID-19 | MESH:C000657245 |
108 | 876-884 | Disease | denotes | COVID-19 | MESH:C000657245 |
109 | 960-968 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PMC-OGER-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T73 | 125-133 | SP_7 | denotes | COVID-19 |
T74 | 149-164 | CHEBI:52217;CHEBI:52217 | denotes | pharmacological |
T75 | 243-255 | CHEBI:52217;CHEBI:52217 | denotes | pharmacology |
T76 | 317-322 | CHEBI:23888;CHEBI:23888 | denotes | drugs |
T77 | 460-472 | CHEBI:52217;CHEBI:52217 | denotes | pharmacology |
T78 | 876-884 | SP_7 | denotes | COVID-19 |
T79 | 960-968 | SP_7 | denotes | COVID-19 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T28 | 125-133 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T29 | 876-884 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T30 | 960-968 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T45 | 14-15 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T46 | 257-258 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T47 | 360-361 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T48 | 830-832 | http://purl.obolibrary.org/obo/CLO_0053733 | denotes | 11 |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T21 | 317-322 | Chemical | denotes | drugs | http://purl.obolibrary.org/obo/CHEBI_23888 |
T22 | 418-421 | Chemical | denotes | TCM | http://purl.obolibrary.org/obo/CHEBI_145500 |
T23 | 506-509 | Chemical | denotes | TCM | http://purl.obolibrary.org/obo/CHEBI_145500 |
T24 | 610-613 | Chemical | denotes | TCM | http://purl.obolibrary.org/obo/CHEBI_145500 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T36 | 0-234 | Sentence | denotes | QFPD contains a total of 21 traditional Chinese medicines, and it is difficult to elucidate the complex mechanism of QFPD on COVID-19 by traditional pharmacological methods due to the multi-components and multi-targets of the formula. |
T37 | 235-392 | Sentence | denotes | Network pharmacology, a new method in recent years, can integrate interactions of drugs, targets, pathways and diseases into a biological network system [8]. |
T38 | 393-664 | Sentence | denotes | Therefore, more and more TCM researchers have begun to use network pharmacology to explore the material basis of TCM, and to reveal the overall comprehensive effects of multi-path, multi-component and multi-target of TCM prescription and its treatment of diseases [9,10]. |
T39 | 665-834 | Sentence | denotes | More importantly, previous study reported that disease conditions can be more fragile than health systems against various perturbations for the un-optimized system [11]. |
T40 | 835-990 | Sentence | denotes | So the formula may be more effective for COVID-19 disease via the stronger effects on the reduction of the robustness of the COVID-19 disease network [12]. |
2_test
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32554251-17921993-6393489 | 389-390 | 17921993 | denotes | 8 |
32554251-17318209-6393490 | 830-832 | 17318209 | denotes | 11 |
32554251-30809144-6393491 | 986-988 | 30809144 | denotes | 12 |