PMC:7247521 / 1405-2545 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"32","span":{"begin":255,"end":264},"obj":"Gene"},{"id":"34","span":{"begin":372,"end":381},"obj":"Species"},{"id":"38","span":{"begin":11,"end":16},"obj":"Chemical"},{"id":"45","span":{"begin":450,"end":458},"obj":"Disease"},{"id":"46","span":{"begin":515,"end":523},"obj":"Disease"},{"id":"47","span":{"begin":777,"end":785},"obj":"Disease"},{"id":"55","span":{"begin":997,"end":1019},"obj":"Species"},{"id":"56","span":{"begin":1021,"end":1030},"obj":"Species"}],"attributes":[{"id":"A34","pred":"tao:has_database_id","subj":"34","obj":"Tax:2697049"},{"id":"A45","pred":"tao:has_database_id","subj":"45","obj":"MESH:C000657245"},{"id":"A46","pred":"tao:has_database_id","subj":"46","obj":"MESH:C000657245"},{"id":"A47","pred":"tao:has_database_id","subj":"47","obj":"MESH:C000657245"},{"id":"A55","pred":"tao:has_database_id","subj":"55","obj":"Tax:2697049"},{"id":"A56","pred":"tao:has_database_id","subj":"56","obj":"Tax:2697049"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PMC-OGER-BB

    {"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T28","span":{"begin":44,"end":53},"obj":"CHEBI:36357;CHEBI:36357"},{"id":"T29","span":{"begin":108,"end":112},"obj":"CHEBI:23888;CHEBI:23888"},{"id":"T30","span":{"begin":137,"end":153},"obj":"UBERON:0001555"},{"id":"T31","span":{"begin":262,"end":264},"obj":"CHEBI:15379;CHEBI:15379"},{"id":"T32","span":{"begin":372,"end":381},"obj":"SP_7"},{"id":"T33","span":{"begin":429,"end":433},"obj":"CHEBI:23888;CHEBI:23888"},{"id":"T34","span":{"begin":450,"end":458},"obj":"SP_7"},{"id":"T35","span":{"begin":515,"end":523},"obj":"SP_7"},{"id":"T36","span":{"begin":565,"end":574},"obj":"GO:0010467"},{"id":"T37","span":{"begin":575,"end":579},"obj":"CHEBI:23888;CHEBI:23888"},{"id":"T38","span":{"begin":621,"end":630},"obj":"NCBITaxon:2"},{"id":"T39","span":{"begin":635,"end":640},"obj":"NCBITaxon:10239"},{"id":"T40","span":{"begin":652,"end":665},"obj":"UBERON:0002405"},{"id":"T41","span":{"begin":777,"end":785},"obj":"SP_7"},{"id":"T42","span":{"begin":789,"end":799},"obj":"GO:0065007"},{"id":"T43","span":{"begin":900,"end":910},"obj":"GO:0065007"},{"id":"T44","span":{"begin":919,"end":924},"obj":"NCBITaxon:10239"},{"id":"T45","span":{"begin":957,"end":966},"obj":"GO:0008152"},{"id":"T46","span":{"begin":1008,"end":1019},"obj":"NCBITaxon:11118"},{"id":"T47","span":{"begin":1021,"end":1030},"obj":"SP_7"},{"id":"T11","span":{"begin":919,"end":924},"obj":"NCBITaxon:10239"},{"id":"T12","span":{"begin":930,"end":943},"obj":"CHEBI:67079;CHEBI:67079"},{"id":"T13","span":{"begin":957,"end":966},"obj":"GO:0008152"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-FMA-UBERON

    {"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T3","span":{"begin":410,"end":418},"obj":"Body_part"},{"id":"T4","span":{"begin":652,"end":665},"obj":"Body_part"}],"attributes":[{"id":"A3","pred":"fma_id","subj":"T3","obj":"http://purl.org/sig/ont/fma/fma67257"},{"id":"A4","pred":"fma_id","subj":"T4","obj":"http://purl.org/sig/ont/fma/fma9825"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-UBERON

    {"project":"LitCovid-PD-UBERON","denotations":[{"id":"T1","span":{"begin":652,"end":665},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"uberon_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/UBERON_0002405"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T10","span":{"begin":450,"end":458},"obj":"Disease"},{"id":"T11","span":{"begin":515,"end":523},"obj":"Disease"},{"id":"T12","span":{"begin":777,"end":785},"obj":"Disease"}],"attributes":[{"id":"A10","pred":"mondo_id","subj":"T10","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A11","pred":"mondo_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A12","pred":"mondo_id","subj":"T12","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T10","span":{"begin":122,"end":126},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"},{"id":"T11","span":{"begin":251,"end":253},"obj":"http://purl.obolibrary.org/obo/CLO_0050050"},{"id":"T12","span":{"begin":292,"end":295},"obj":"http://purl.obolibrary.org/obo/CLO_0007875"},{"id":"T13","span":{"begin":292,"end":295},"obj":"http://purl.obolibrary.org/obo/CLO_0052410"},{"id":"T14","span":{"begin":652,"end":665},"obj":"http://purl.obolibrary.org/obo/UBERON_0002405"},{"id":"T15","span":{"begin":667,"end":676},"obj":"http://purl.obolibrary.org/obo/SO_0000418"},{"id":"T16","span":{"begin":754,"end":755},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T17","span":{"begin":800,"end":801},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T18","span":{"begin":944,"end":952},"obj":"http://purl.obolibrary.org/obo/CLO_0001658"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-CHEBI

    {"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T7","span":{"begin":108,"end":112},"obj":"Chemical"},{"id":"T8","span":{"begin":247,"end":249},"obj":"Chemical"},{"id":"T10","span":{"begin":262,"end":264},"obj":"Chemical"},{"id":"T11","span":{"begin":410,"end":418},"obj":"Chemical"},{"id":"T12","span":{"begin":429,"end":433},"obj":"Chemical"},{"id":"T13","span":{"begin":575,"end":579},"obj":"Chemical"}],"attributes":[{"id":"A7","pred":"chebi_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"},{"id":"A8","pred":"chebi_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/CHEBI_51083"},{"id":"A9","pred":"chebi_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/CHEBI_53453"},{"id":"A10","pred":"chebi_id","subj":"T10","obj":"http://purl.obolibrary.org/obo/CHEBI_15379"},{"id":"A11","pred":"chebi_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/CHEBI_36080"},{"id":"A12","pred":"chebi_id","subj":"T12","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"},{"id":"A13","pred":"chebi_id","subj":"T13","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-GO-BP

    {"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T16","span":{"begin":667,"end":689},"obj":"http://purl.obolibrary.org/obo/GO_0007165"},{"id":"T17","span":{"begin":667,"end":676},"obj":"http://purl.obolibrary.org/obo/GO_0023052"},{"id":"T18","span":{"begin":677,"end":689},"obj":"http://purl.obolibrary.org/obo/GO_0009293"},{"id":"T19","span":{"begin":900,"end":910},"obj":"http://purl.obolibrary.org/obo/GO_0065007"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T16","span":{"begin":213,"end":419},"obj":"Sentence"},{"id":"T17","span":{"begin":420,"end":695},"obj":"Sentence"},{"id":"T18","span":{"begin":696,"end":853},"obj":"Sentence"},{"id":"T19","span":{"begin":854,"end":979},"obj":"Sentence"},{"id":"T20","span":{"begin":981,"end":996},"obj":"Sentence"},{"id":"T21","span":{"begin":997,"end":1110},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}

    LitCovid-PD-GlycoEpitope

    {"project":"LitCovid-PD-GlycoEpitope","denotations":[{"id":"T1","span":{"begin":308,"end":311},"obj":"GlycoEpitope"}],"attributes":[{"id":"A1","pred":"glyco_epitope_db_id","subj":"T1","obj":"http://www.glycoepitope.jp/epitopes/AN0690"}],"text":" addition, ADMET estimations showed that 20 compounds passed the stringent lead-like criteria and in silico drug-likeness test with high gastrointestinal absorption and the median lethal dose (LD50 \u003e 1600 mg/kg). Moreover, 4 specific ingredients (M3, S1, X2 and O2) and 5 common ingredients (MS1, MX16, SX1, WO1 and XO1) of QFPD presented good molecular docking score for 2019-nCov structure and non-structure proteins. Finally, drug perturbation of COVID-19 network robustness showed that all five FUs may protect COVID-19 independently, and target 8 specifically expressed drug-attacked nodes which were related to the bacterial and viral responses, immune system, signaling transduction, etc. In conclusion, our new FUNP analysis showed that QFPD had a protection effect on COVID-19 by regulating a complex molecular network with safety and efficacy. Part of the mechanism was associated with the regulation of anti-viral, anti-inflammatory activity and metabolic programming.\n\n1 Introduction\n2019-novel coronavirus (2019-nCov) outbreak took place in December 2019 and continues to spread around the world. By April 3, 2020, more than 1"}