> top > projects > sentences > docs > PubMed:32654489 > annotations
sentences Home  

PubMed:32654489 JSONTXT 38 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T1 0-78 Sentence denotes Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.
T1 0-78 Sentence denotes Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.
T2 79-325 Sentence denotes There have been more than 2.2 million confirmed cases and over 120 000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), in the United States alone.
T2 79-325 Sentence denotes There have been more than 2.2 million confirmed cases and over 120 000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), in the United States alone.
T3 326-410 Sentence denotes However, there is currently a lack of proven effective medications against COVID-19.
T3 326-410 Sentence denotes However, there is currently a lack of proven effective medications against COVID-19.
T4 411-525 Sentence denotes Drug repurposing offers a promising route for the development of prevention and treatment strategies for COVID-19.
T4 411-525 Sentence denotes Drug repurposing offers a promising route for the development of prevention and treatment strategies for COVID-19.
T5 526-662 Sentence denotes This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE).
T5 526-662 Sentence denotes This study reports an integrative, network-based deep-learning methodology to identify repurposable drugs for COVID-19 (termed CoV-KGE).
T6 663-916 Sentence denotes Specifically, we built a comprehensive knowledge graph that includes 15 million edges across 39 types of relationships connecting drugs, diseases, proteins/genes, pathways, and expression from a large scientific corpus of 24 million PubMed publications.
T6 663-916 Sentence denotes Specifically, we built a comprehensive knowledge graph that includes 15 million edges across 39 types of relationships connecting drugs, diseases, proteins/genes, pathways, and expression from a large scientific corpus of 24 million PubMed publications.
T7 917-1278 Sentence denotes Using Amazon's AWS computing resources and a network-based, deep-learning framework, we identified 41 repurposable drugs (including dexamethasone, indomethacin, niclosamide, and toremifene) whose therapeutic associations with COVID-19 were validated by transcriptomic and proteomics data in SARS-CoV-2-infected human cells and data from ongoing clinical trials.
T7 917-1278 Sentence denotes Using Amazon's AWS computing resources and a network-based, deep-learning framework, we identified 41 repurposable drugs (including dexamethasone, indomethacin, niclosamide, and toremifene) whose therapeutic associations with COVID-19 were validated by transcriptomic and proteomics data in SARS-CoV-2-infected human cells and data from ongoing clinical trials.
T8 1279-1523 Sentence denotes 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.
T8 1279-1523 Sentence denotes 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.