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Inflammaging

Id	Subject	Object	Predicate	Lexical cue
T1	0-99	Sentence	denotes	Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.
T2	100-283	Sentence	denotes	The emergence of novel coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 coronavirus, has necessitated the urgent development of new diagnostic and therapeutic strategies.
T3	284-426	Sentence	denotes	Rapid research and development, on an international scale, has already generated assays for detecting SARS-CoV-2 RNA and host immunoglobulins.
T4	427-581	Sentence	denotes	However, the complexities of COVID-19 are such that fuller definitions of patient status, trajectory, sequelae, and responses to therapy are now required.
T5	582-734	Sentence	denotes	There is accumulating evidence-from studies of both COVID-19 and the related disease SARS-that protein biomarkers could help to provide this definition.
T6	735-969	Sentence	denotes	Proteins associated with blood coagulation (D-dimer), cell damage (lactate dehydrogenase), and the inflammatory response (e.g., C-reactive protein) have already been identified as possible predictors of COVID-19 severity or mortality.
T7	970-1094	Sentence	denotes	Proteomics technologies, with their ability to detect many proteins per analysis, have begun to extend these early findings.
T8	1095-1327	Sentence	denotes	To be effective, proteomics strategies must include not only methods for comprehensive data acquisition (e.g., using mass spectrometry) but also informatics approaches via which to derive actionable information from large data sets.
T9	1328-1521	Sentence	denotes	Here we review applications of proteomics to COVID-19 and SARS and outline how pipelines involving technologies such as artificial intelligence could be of value for research on these diseases.
T1	0-99	Sentence	denotes	Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.
T2	100-283	Sentence	denotes	The emergence of novel coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 coronavirus, has necessitated the urgent development of new diagnostic and therapeutic strategies.
T3	284-426	Sentence	denotes	Rapid research and development, on an international scale, has already generated assays for detecting SARS-CoV-2 RNA and host immunoglobulins.
T4	427-581	Sentence	denotes	However, the complexities of COVID-19 are such that fuller definitions of patient status, trajectory, sequelae, and responses to therapy are now required.
T5	582-734	Sentence	denotes	There is accumulating evidence-from studies of both COVID-19 and the related disease SARS-that protein biomarkers could help to provide this definition.
T6	735-969	Sentence	denotes	Proteins associated with blood coagulation (D-dimer), cell damage (lactate dehydrogenase), and the inflammatory response (e.g., C-reactive protein) have already been identified as possible predictors of COVID-19 severity or mortality.
T7	970-1094	Sentence	denotes	Proteomics technologies, with their ability to detect many proteins per analysis, have begun to extend these early findings.
T8	1095-1327	Sentence	denotes	To be effective, proteomics strategies must include not only methods for comprehensive data acquisition (e.g., using mass spectrometry) but also informatics approaches via which to derive actionable information from large data sets.
T9	1328-1521	Sentence	denotes	Here we review applications of proteomics to COVID-19 and SARS and outline how pipelines involving technologies such as artificial intelligence could be of value for research on these diseases.

LitCovid-PD-FMA-UBERON

Id	Subject	Object	Predicate	Lexical cue	fma_id
T1	397-400	Body_part	denotes	RNA	http://purl.org/sig/ont/fma/fma67095
T2	410-425	Body_part	denotes	immunoglobulins	http://purl.org/sig/ont/fma/fma62871
T3	677-684	Body_part	denotes	protein	http://purl.org/sig/ont/fma/fma67257
T4	735-743	Body_part	denotes	Proteins	http://purl.org/sig/ont/fma/fma67257
T5	760-765	Body_part	denotes	blood	http://purl.org/sig/ont/fma/fma9670
T6	789-793	Body_part	denotes	cell	http://purl.org/sig/ont/fma/fma68646
T7	874-881	Body_part	denotes	protein	http://purl.org/sig/ont/fma/fma67257
T8	1029-1037	Body_part	denotes	proteins	http://purl.org/sig/ont/fma/fma67257

LitCovid-PD-UBERON

Id	Subject	Object	Predicate	Lexical cue	uberon_id
T1	336-341	Body_part	denotes	scale	http://purl.obolibrary.org/obo/UBERON_0002542
T2	760-765	Body_part	denotes	blood	http://purl.obolibrary.org/obo/UBERON_0000178

LitCovid-PD-MONDO

Id	Subject	Object	Predicate	Lexical cue	mondo_id
T1	82-90	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T2	123-147	Disease	denotes	coronavirus disease 2019	http://purl.obolibrary.org/obo/MONDO_0100096
T3	149-157	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T4	174-182	Disease	denotes	SARS-CoV	http://purl.obolibrary.org/obo/MONDO_0005091
T5	386-394	Disease	denotes	SARS-CoV	http://purl.obolibrary.org/obo/MONDO_0005091
T6	456-464	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T7	634-642	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T8	667-671	Disease	denotes	SARS	http://purl.obolibrary.org/obo/MONDO_0005091
T9	938-946	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T10	1373-1381	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T11	1386-1390	Disease	denotes	SARS	http://purl.obolibrary.org/obo/MONDO_0005091

LitCovid-PD-CLO

Id	Subject	Object	Predicate	Lexical cue
T1	198-201	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T2	343-346	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T3	760-765	http://purl.obolibrary.org/obo/UBERON_0000178	denotes	blood
T4	760-765	http://www.ebi.ac.uk/efo/EFO_0000296	denotes	blood
T5	789-793	http://purl.obolibrary.org/obo/GO_0005623	denotes	cell

LitCovid-PD-CHEBI

Id	Subject	Object	Predicate	Lexical cue	chebi_id
T1	677-684	Chemical	denotes	protein	http://purl.obolibrary.org/obo/CHEBI_36080
T2	802-809	Chemical	denotes	lactate	http://purl.obolibrary.org/obo/CHEBI_24996
T3	874-881	Chemical	denotes	protein	http://purl.obolibrary.org/obo/CHEBI_36080
T4	1029-1037	Chemical	denotes	proteins	http://purl.obolibrary.org/obo/CHEBI_36080

LitCovid-PD-GO-BP

Id	Subject	Object	Predicate	Lexical cue
T1	760-777	http://purl.obolibrary.org/obo/GO_0007596	denotes	blood coagulation
T2	766-777	http://purl.obolibrary.org/obo/GO_0050817	denotes	coagulation
T3	834-855	http://purl.obolibrary.org/obo/GO_0006954	denotes	inflammatory response

LitCovid-sentences

Id	Subject	Object	Predicate	Lexical cue
T1	0-99	Sentence	denotes	Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.
T2	100-283	Sentence	denotes	The emergence of novel coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 coronavirus, has necessitated the urgent development of new diagnostic and therapeutic strategies.
T3	284-426	Sentence	denotes	Rapid research and development, on an international scale, has already generated assays for detecting SARS-CoV-2 RNA and host immunoglobulins.
T4	427-581	Sentence	denotes	However, the complexities of COVID-19 are such that fuller definitions of patient status, trajectory, sequelae, and responses to therapy are now required.
T5	582-734	Sentence	denotes	There is accumulating evidence-from studies of both COVID-19 and the related disease SARS-that protein biomarkers could help to provide this definition.
T6	735-969	Sentence	denotes	Proteins associated with blood coagulation (D-dimer), cell damage (lactate dehydrogenase), and the inflammatory response (e.g., C-reactive protein) have already been identified as possible predictors of COVID-19 severity or mortality.
T7	970-1094	Sentence	denotes	Proteomics technologies, with their ability to detect many proteins per analysis, have begun to extend these early findings.
T8	1095-1327	Sentence	denotes	To be effective, proteomics strategies must include not only methods for comprehensive data acquisition (e.g., using mass spectrometry) but also informatics approaches via which to derive actionable information from large data sets.
T9	1328-1521	Sentence	denotes	Here we review applications of proteomics to COVID-19 and SARS and outline how pipelines involving technologies such as artificial intelligence could be of value for research on these diseases.

LitCovid-PubTator

Id	Subject	Object	Predicate	Lexical cue	tao:has_database_id
1	82-90	Disease	denotes	COVID-19	MESH:C000657245
17	117-142	Disease	denotes	novel coronavirus disease	MESH:C000657245
18	149-157	Disease	denotes	COVID-19	MESH:C000657245
19	174-184	Species	denotes	SARS-CoV-2	Tax:2697049
20	185-196	Species	denotes	coronavirus	Tax:11118
21	386-396	Species	denotes	SARS-CoV-2	Tax:2697049
22	456-464	Disease	denotes	COVID-19	MESH:C000657245
23	501-508	Species	denotes	patient	Tax:9606
24	634-642	Disease	denotes	COVID-19	MESH:C000657245
25	667-671	Disease	denotes	SARS	MESH:D045169
26	760-777	Disease	denotes	blood coagulation	MESH:D001778
27	863-881	Gene	denotes	C-reactive protein	Gene:1401
28	938-946	Disease	denotes	COVID-19	MESH:C000657245
29	959-968	Disease	denotes	mortality	MESH:D003643
30	1373-1381	Disease	denotes	COVID-19	MESH:C000657245
31	1386-1390	Disease	denotes	SARS	MESH:D045169

sentences

Id	Subject	Object	Predicate	Lexical cue
T1	0-99	Sentence	denotes	Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.
T2	100-283	Sentence	denotes	The emergence of novel coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 coronavirus, has necessitated the urgent development of new diagnostic and therapeutic strategies.
T3	284-426	Sentence	denotes	Rapid research and development, on an international scale, has already generated assays for detecting SARS-CoV-2 RNA and host immunoglobulins.
T4	427-581	Sentence	denotes	However, the complexities of COVID-19 are such that fuller definitions of patient status, trajectory, sequelae, and responses to therapy are now required.
T5	582-734	Sentence	denotes	There is accumulating evidence-from studies of both COVID-19 and the related disease SARS-that protein biomarkers could help to provide this definition.
T6	735-969	Sentence	denotes	Proteins associated with blood coagulation (D-dimer), cell damage (lactate dehydrogenase), and the inflammatory response (e.g., C-reactive protein) have already been identified as possible predictors of COVID-19 severity or mortality.
T7	970-1094	Sentence	denotes	Proteomics technologies, with their ability to detect many proteins per analysis, have begun to extend these early findings.
T8	1095-1327	Sentence	denotes	To be effective, proteomics strategies must include not only methods for comprehensive data acquisition (e.g., using mass spectrometry) but also informatics approaches via which to derive actionable information from large data sets.
T9	1328-1521	Sentence	denotes	Here we review applications of proteomics to COVID-19 and SARS and outline how pipelines involving technologies such as artificial intelligence could be of value for research on these diseases.
T1	0-99	Sentence	denotes	Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.
T2	100-283	Sentence	denotes	The emergence of novel coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 coronavirus, has necessitated the urgent development of new diagnostic and therapeutic strategies.
T3	284-426	Sentence	denotes	Rapid research and development, on an international scale, has already generated assays for detecting SARS-CoV-2 RNA and host immunoglobulins.
T4	427-581	Sentence	denotes	However, the complexities of COVID-19 are such that fuller definitions of patient status, trajectory, sequelae, and responses to therapy are now required.
T5	582-734	Sentence	denotes	There is accumulating evidence-from studies of both COVID-19 and the related disease SARS-that protein biomarkers could help to provide this definition.
T6	735-969	Sentence	denotes	Proteins associated with blood coagulation (D-dimer), cell damage (lactate dehydrogenase), and the inflammatory response (e.g., C-reactive protein) have already been identified as possible predictors of COVID-19 severity or mortality.
T7	970-1094	Sentence	denotes	Proteomics technologies, with their ability to detect many proteins per analysis, have begun to extend these early findings.
T8	1095-1327	Sentence	denotes	To be effective, proteomics strategies must include not only methods for comprehensive data acquisition (e.g., using mass spectrometry) but also informatics approaches via which to derive actionable information from large data sets.
T9	1328-1521	Sentence	denotes	Here we review applications of proteomics to COVID-19 and SARS and outline how pipelines involving technologies such as artificial intelligence could be of value for research on these diseases.

Glycosmos6-MAT

Id	Subject	Object	Predicate	Lexical cue
T1	760-765	http://purl.obolibrary.org/obo/MAT_0000083	denotes	blood
T2	760-765	http://purl.obolibrary.org/obo/MAT_0000315	denotes	blood

mondo_disease

Id	Subject	Object	Predicate	Lexical cue	mondo_id
T1	82-90	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T2	123-147	Disease	denotes	coronavirus disease 2019	http://purl.obolibrary.org/obo/MONDO_0100096
T3	149-157	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T4	174-184	Disease	denotes	SARS-CoV-2	http://purl.obolibrary.org/obo/MONDO_0100096
T5	386-396	Disease	denotes	SARS-CoV-2	http://purl.obolibrary.org/obo/MONDO_0100096
T6	456-464	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T7	634-642	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T8	667-671	Disease	denotes	SARS	http://purl.obolibrary.org/obo/MONDO_0005091
T9	938-946	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T10	1373-1381	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T11	1386-1390	Disease	denotes	SARS	http://purl.obolibrary.org/obo/MONDO_0005091

Anatomy-MAT

Id	Subject	Object	Predicate	Lexical cue	mat_id
T1	760-765	Body_part	denotes	blood	http://purl.obolibrary.org/obo/MAT_0000083\|http://purl.obolibrary.org/obo/MAT_0000315

NCBITAXON

Id	Subject	Object	Predicate	Lexical cue	db_id
T1	123-147	OrganismTaxon	denotes	coronavirus disease 2019	2697049
T2	174-182	OrganismTaxon	denotes	SARS-CoV	694009
T3	386-394	OrganismTaxon	denotes	SARS-CoV	694009
T4	501-508	OrganismTaxon	denotes	patient	9606

Anatomy-UBERON

Id	Subject	Object	Predicate	Lexical cue	uberon_id
T1	336-341	Body_part	denotes	scale	http://purl.obolibrary.org/obo/UBERON_0002542
T2	760-765	Body_part	denotes	blood	http://purl.obolibrary.org/obo/UBERON_0000178