PubMed:32654489 / 1279-1523 JSONTXT

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    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T11","span":{"begin":235,"end":243},"obj":"Disease"}],"attributes":[{"id":"A11","pred":"mondo_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T10","span":{"begin":74,"end":75},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    LitCovid-PD-CHEBI

    {"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T7","span":{"begin":51,"end":56},"obj":"Chemical"},{"id":"T8","span":{"begin":134,"end":139},"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_23888"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    LitCovid-PD-GO-BP

    {"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T4","span":{"begin":90,"end":98},"obj":"http://purl.obolibrary.org/obo/GO_0007612"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"35","span":{"begin":235,"end":243},"obj":"Disease"}],"attributes":[{"id":"A35","pred":"tao:has_database_id","subj":"35","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":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T8","span":{"begin":0,"end":244},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    sentences

    {"project":"sentences","denotations":[{"id":"T8","span":{"begin":0,"end":244},"obj":"Sentence"},{"id":"T8","span":{"begin":0,"end":244},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}

    mondo_disease

    {"project":"mondo_disease","denotations":[{"id":"T11","span":{"begin":235,"end":243},"obj":"Disease"}],"attributes":[{"id":"A11","pred":"mondo_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Whereas this study by no means recommends specific drugs, it demonstrates a powerful deep-learning methodology to prioritize existing drugs for further investigation, which holds the potential to accelerate therapeutic development for COVID-19."}