PubMed:32654489 / 526-662 JSONTXT

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    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T8","span":{"begin":110,"end":118},"obj":"Disease"}],"attributes":[{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}

    LitCovid-PD-CHEBI

    {"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T1","span":{"begin":100,"end":105},"obj":"Chemical"}],"attributes":[{"id":"A1","pred":"chebi_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"}],"text":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}

    LitCovid-PD-GO-BP

    {"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T2","span":{"begin":54,"end":62},"obj":"http://purl.obolibrary.org/obo/GO_0007612"}],"text":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}

    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"26","span":{"begin":110,"end":118},"obj":"Disease"},{"id":"27","span":{"begin":127,"end":130},"obj":"Species"}],"attributes":[{"id":"A26","pred":"tao:has_database_id","subj":"26","obj":"MESH:C000657245"},{"id":"A27","pred":"tao:has_database_id","subj":"27","obj":"Tax:11118"}],"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":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T5","span":{"begin":0,"end":136},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}

    sentences

    {"project":"sentences","denotations":[{"id":"T5","span":{"begin":0,"end":136},"obj":"Sentence"},{"id":"T5","span":{"begin":0,"end":136},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}

    mondo_disease

    {"project":"mondo_disease","denotations":[{"id":"T8","span":{"begin":110,"end":118},"obj":"Disease"}],"attributes":[{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE)."}