
PMC:7299399 / 47096-47426
Annnotations
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T428","span":{"begin":185,"end":186},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T429","span":{"begin":279,"end":285},"obj":"http://purl.obolibrary.org/obo/CLO_0001658"}],"text":"tment methods can save the lives of many people. Combining in silico tools such as molecular docking, molecular dynamics, and computational chemistry with large drug databases provides a great advantage in selecting “possible candidates” from among thousands of pharmaceutically active substances (Figure 3). In silico analyses sh"}
LitCovid-PD-CHEBI
{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T396","span":{"begin":161,"end":165},"obj":"Chemical"}],"attributes":[{"id":"A396","pred":"chebi_id","subj":"T396","obj":"http://purl.obolibrary.org/obo/CHEBI_23888"}],"text":"tment methods can save the lives of many people. Combining in silico tools such as molecular docking, molecular dynamics, and computational chemistry with large drug databases provides a great advantage in selecting “possible candidates” from among thousands of pharmaceutically active substances (Figure 3). In silico analyses sh"}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T182","span":{"begin":49,"end":308},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"tment methods can save the lives of many people. Combining in silico tools such as molecular docking, molecular dynamics, and computational chemistry with large drug databases provides a great advantage in selecting “possible candidates” from among thousands of pharmaceutically active substances (Figure 3). In silico analyses sh"}
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"695","span":{"begin":41,"end":47},"obj":"Species"}],"attributes":[{"id":"A695","pred":"tao:has_database_id","subj":"695","obj":"Tax:9606"}],"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":"tment methods can save the lives of many people. Combining in silico tools such as molecular docking, molecular dynamics, and computational chemistry with large drug databases provides a great advantage in selecting “possible candidates” from among thousands of pharmaceutically active substances (Figure 3). In silico analyses sh"}