PMC:7354481 / 19817-20336
Annnotations
LitCovid-PD-MONDO
{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T71","span":{"begin":31,"end":39},"obj":"Disease"}],"attributes":[{"id":"A71","pred":"mondo_id","subj":"T71","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"}],"text":"hese sequences are crucial for SARS-CoV-2, or their locations are important for the virus to survive. Using the GISAID database, we analysed a sample of viral genomic sequences from several geographical areas for mutations in the potential miR sequences (n = 28–133). The majority of the miRs studied showed very few base changes in these sequences, with \u003c1% overall. MiRs miR-1468-5p and, particularly, miR-1307-3p showed an increased percentage of mutations. All the mutations analysed reduced the microRNA base simil"}
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T165","span":{"begin":84,"end":89},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_10239"},{"id":"T166","span":{"begin":141,"end":142},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"hese sequences are crucial for SARS-CoV-2, or their locations are important for the virus to survive. Using the GISAID database, we analysed a sample of viral genomic sequences from several geographical areas for mutations in the potential miR sequences (n = 28–133). The majority of the miRs studied showed very few base changes in these sequences, with \u003c1% overall. MiRs miR-1468-5p and, particularly, miR-1307-3p showed an increased percentage of mutations. All the mutations analysed reduced the microRNA base simil"}
LitCovid-PD-CHEBI
{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T53","span":{"begin":317,"end":321},"obj":"Chemical"},{"id":"T54","span":{"begin":509,"end":513},"obj":"Chemical"}],"attributes":[{"id":"A53","pred":"chebi_id","subj":"T53","obj":"http://purl.obolibrary.org/obo/CHEBI_22695"},{"id":"A54","pred":"chebi_id","subj":"T54","obj":"http://purl.obolibrary.org/obo/CHEBI_22695"}],"text":"hese sequences are crucial for SARS-CoV-2, or their locations are important for the virus to survive. Using the GISAID database, we analysed a sample of viral genomic sequences from several geographical areas for mutations in the potential miR sequences (n = 28–133). The majority of the miRs studied showed very few base changes in these sequences, with \u003c1% overall. MiRs miR-1468-5p and, particularly, miR-1307-3p showed an increased percentage of mutations. All the mutations analysed reduced the microRNA base simil"}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T134","span":{"begin":102,"end":267},"obj":"Sentence"},{"id":"T135","span":{"begin":268,"end":367},"obj":"Sentence"},{"id":"T136","span":{"begin":368,"end":460},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"hese sequences are crucial for SARS-CoV-2, or their locations are important for the virus to survive. Using the GISAID database, we analysed a sample of viral genomic sequences from several geographical areas for mutations in the potential miR sequences (n = 28–133). The majority of the miRs studied showed very few base changes in these sequences, with \u003c1% overall. MiRs miR-1468-5p and, particularly, miR-1307-3p showed an increased percentage of mutations. All the mutations analysed reduced the microRNA base simil"}
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"345","span":{"begin":373,"end":381},"obj":"Gene"},{"id":"348","span":{"begin":31,"end":41},"obj":"Species"}],"attributes":[{"id":"A345","pred":"tao:has_database_id","subj":"345","obj":"Gene:100302115"},{"id":"A348","pred":"tao:has_database_id","subj":"348","obj":"Tax:2697049"}],"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":"hese sequences are crucial for SARS-CoV-2, or their locations are important for the virus to survive. Using the GISAID database, we analysed a sample of viral genomic sequences from several geographical areas for mutations in the potential miR sequences (n = 28–133). The majority of the miRs studied showed very few base changes in these sequences, with \u003c1% overall. MiRs miR-1468-5p and, particularly, miR-1307-3p showed an increased percentage of mutations. All the mutations analysed reduced the microRNA base simil"}