PMC:7755033 / 504-807 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"29","span":{"begin":260,"end":264},"obj":"Gene"},{"id":"35","span":{"begin":31,"end":60},"obj":"Species"},{"id":"36","span":{"begin":223,"end":233},"obj":"Species"},{"id":"37","span":{"begin":254,"end":259},"obj":"Species"},{"id":"45","span":{"begin":62,"end":64},"obj":"Species"},{"id":"46","span":{"begin":184,"end":186},"obj":"Species"}],"attributes":[{"id":"A29","pred":"tao:has_database_id","subj":"29","obj":"Gene:59272"},{"id":"A35","pred":"tao:has_database_id","subj":"35","obj":"Tax:126910"},{"id":"A36","pred":"tao:has_database_id","subj":"36","obj":"Tax:2697049"},{"id":"A37","pred":"tao:has_database_id","subj":"37","obj":"Tax:9606"},{"id":"A45","pred":"tao:has_database_id","subj":"45","obj":"Tax:126910"},{"id":"A46","pred":"tao:has_database_id","subj":"46","obj":"Tax:126910"}],"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":"re still in the nascent stage. Withania somnifera (L.) Dunal (WS), is an important medicinal plant in Ayurveda. The present study aimed to evaluate the antiviral potential of selected WS phytoconstituents against the novel SARS-CoV-2 target proteins and human ACE2 receptor using in silico methods. Most"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T9","span":{"begin":31,"end":111},"obj":"Sentence"},{"id":"T10","span":{"begin":112,"end":298},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"re still in the nascent stage. Withania somnifera (L.) Dunal (WS), is an important medicinal plant in Ayurveda. The present study aimed to evaluate the antiviral potential of selected WS phytoconstituents against the novel SARS-CoV-2 target proteins and human ACE2 receptor using in silico methods. Most"}