PMC:7247521 / 30844-31631 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"429","span":{"begin":316,"end":322},"obj":"Gene"},{"id":"430","span":{"begin":106,"end":118},"obj":"Disease"},{"id":"431","span":{"begin":227,"end":230},"obj":"Disease"},{"id":"433","span":{"begin":74,"end":82},"obj":"Disease"},{"id":"436","span":{"begin":750,"end":754},"obj":"Chemical"},{"id":"437","span":{"begin":612,"end":615},"obj":"Disease"}],"attributes":[{"id":"A429","pred":"tao:has_database_id","subj":"429","obj":"Gene:1185"},{"id":"A431","pred":"tao:has_database_id","subj":"431","obj":"MESH:D015473"},{"id":"A433","pred":"tao:has_database_id","subj":"433","obj":"MESH:C000657245"},{"id":"A437","pred":"tao:has_database_id","subj":"437","obj":"MESH:D015473"}],"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":"Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network.\nTopology MXSG SGMH XCH WLS Others BXTM YDBF\nDTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71\nAC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78\nAPL 13.35 13.40 9.96 6.49 10.66 4.59 11.17\nCoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25\nClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52\nAverage connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. Negative control formula: BXTM. Positive control formula: YDBF."}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T398","span":{"begin":74,"end":82},"obj":"SP_7"},{"id":"T399","span":{"begin":542,"end":546},"obj":"CHEBI:23888;CHEBI:23888"},{"id":"T400","span":{"begin":718,"end":722},"obj":"CHEBI:23888;CHEBI:23888"}],"text":"Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network.\nTopology MXSG SGMH XCH WLS Others BXTM YDBF\nDTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71\nAC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78\nAPL 13.35 13.40 9.96 6.49 10.66 4.59 11.17\nCoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25\nClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52\nAverage connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. Negative control formula: BXTM. Positive control formula: YDBF."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T61","span":{"begin":74,"end":82},"obj":"Disease"}],"attributes":[{"id":"A61","pred":"mondo_id","subj":"T61","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network.\nTopology MXSG SGMH XCH WLS Others BXTM YDBF\nDTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71\nAC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78\nAPL 13.35 13.40 9.96 6.49 10.66 4.59 11.17\nCoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25\nClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52\nAverage connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. Negative control formula: BXTM. Positive control formula: YDBF."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T253","span":{"begin":316,"end":319},"obj":"http://purl.obolibrary.org/obo/CLO_0002494"},{"id":"T254","span":{"begin":440,"end":443},"obj":"http://purl.obolibrary.org/obo/CLO_0002494"}],"text":"Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network.\nTopology MXSG SGMH XCH WLS Others BXTM YDBF\nDTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71\nAC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78\nAPL 13.35 13.40 9.96 6.49 10.66 4.59 11.17\nCoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25\nClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52\nAverage connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. Negative control formula: BXTM. Positive control formula: YDBF."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T215","span":{"begin":542,"end":546},"obj":"Chemical"},{"id":"T216","span":{"begin":718,"end":722},"obj":"Chemical"}],"attributes":[{"id":"A215","pred":"chebi_id","subj":"T215","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"},{"id":"A216","pred":"chebi_id","subj":"T216","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"}],"text":"Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network.\nTopology MXSG SGMH XCH WLS Others BXTM YDBF\nDTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71\nAC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78\nAPL 13.35 13.40 9.96 6.49 10.66 4.59 11.17\nCoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25\nClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52\nAverage connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. Negative control formula: BXTM. Positive control formula: YDBF."}

{"project":"LitCovid-sentences","denotations":[{"id":"T236","span":{"begin":0,"end":91},"obj":"Sentence"},{"id":"T237","span":{"begin":92,"end":135},"obj":"Sentence"},{"id":"T238","span":{"begin":136,"end":181},"obj":"Sentence"},{"id":"T239","span":{"begin":182,"end":226},"obj":"Sentence"},{"id":"T240","span":{"begin":227,"end":269},"obj":"Sentence"},{"id":"T241","span":{"begin":270,"end":315},"obj":"Sentence"},{"id":"T242","span":{"begin":316,"end":361},"obj":"Sentence"},{"id":"T243","span":{"begin":362,"end":547},"obj":"Sentence"},{"id":"T244","span":{"begin":548,"end":723},"obj":"Sentence"},{"id":"T245","span":{"begin":724,"end":755},"obj":"Sentence"},{"id":"T246","span":{"begin":756,"end":787},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network.\nTopology MXSG SGMH XCH WLS Others BXTM YDBF\nDTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71\nAC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78\nAPL 13.35 13.40 9.96 6.49 10.66 4.59 11.17\nCoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25\nClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52\nAverage connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. Negative control formula: BXTM. Positive control formula: YDBF."}