PMC:7247521 / 12240-12540 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"206","span":{"begin":53,"end":61},"obj":"Disease"},{"id":"207","span":{"begin":70,"end":91},"obj":"Disease"},{"id":"216","span":{"begin":122,"end":130},"obj":"Disease"}],"attributes":[{"id":"A206","pred":"tao:has_database_id","subj":"206","obj":"MESH:C000657245"},{"id":"A207","pred":"tao:has_database_id","subj":"207","obj":"MESH:D003141"},{"id":"A216","pred":"tao:has_database_id","subj":"216","obj":"MESH:C000657245"}],"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":"2.8 Validation of drug positioning for QFPD against COVID-19 via the robustness of disease network\nSince QFPD effects on COVID-19 via multi-component and multi-target, we evaluate the potential efficacy of QFPD through TCMATCOV platform, which uses the quantitative evaluation algorithm of multi-tar"}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T157","span":{"begin":19,"end":23},"obj":"CHEBI:23888;CHEBI:23888"},{"id":"T158","span":{"begin":53,"end":61},"obj":"SP_7"},{"id":"T159","span":{"begin":122,"end":130},"obj":"SP_7"}],"text":"2.8 Validation of drug positioning for QFPD against COVID-19 via the robustness of disease network\nSince QFPD effects on COVID-19 via multi-component and multi-target, we evaluate the potential efficacy of QFPD through TCMATCOV platform, which uses the quantitative evaluation algorithm of multi-tar"}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T39","span":{"begin":53,"end":61},"obj":"Disease"},{"id":"T40","span":{"begin":122,"end":130},"obj":"Disease"}],"attributes":[{"id":"A39","pred":"mondo_id","subj":"T39","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A40","pred":"mondo_id","subj":"T40","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"2.8 Validation of drug positioning for QFPD against COVID-19 via the robustness of disease network\nSince QFPD effects on COVID-19 via multi-component and multi-target, we evaluate the potential efficacy of QFPD through TCMATCOV platform, which uses the quantitative evaluation algorithm of multi-tar"}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T63","span":{"begin":19,"end":23},"obj":"Chemical"}],"attributes":[{"id":"A63","pred":"chebi_id","subj":"T63","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"}],"text":"2.8 Validation of drug positioning for QFPD against COVID-19 via the robustness of disease network\nSince QFPD effects on COVID-19 via multi-component and multi-target, we evaluate the potential efficacy of QFPD through TCMATCOV platform, which uses the quantitative evaluation algorithm of multi-tar"}

{"project":"LitCovid-sentences","denotations":[{"id":"T76","span":{"begin":0,"end":99},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"2.8 Validation of drug positioning for QFPD against COVID-19 via the robustness of disease network\nSince QFPD effects on COVID-19 via multi-component and multi-target, we evaluate the potential efficacy of QFPD through TCMATCOV platform, which uses the quantitative evaluation algorithm of multi-tar"}