PMC:7321036 / 102622-103260 JSONTXT

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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T18 24-31 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T21 104-111 http://purl.obolibrary.org/obo/PR_000018263 denotes peptide
T22 174-175 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T95034 24-31 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T79407 104-111 Chemical denotes peptide http://purl.obolibrary.org/obo/CHEBI_16670
T77426 112-115 Chemical denotes ion http://purl.obolibrary.org/obo/CHEBI_24870

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2309 70-78 Disease denotes infected MESH:D007239

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T894 0-638 Sentence denotes Statistical analysis of protein abundance changes between control and infected runs were computed using peptide ion fragment data output from Spectronaut and processed using a pipeline of three functions from the R package MSstats (version 3.19.5) (Choi et al., 2014): function MSstats::SpectronauttoMSstatsFormat with default settings other than setting “removeProtein_with1Feature = TRUE”; function MSstats::dataProcess with default settings other than setting “censoredInt = 0,” “featureSubset = highQuality,” “remove_uninformative_feature_outlier = TRUE,” “clusters=7”; and function MSstats::groupComparison with all default settings.

2_test

Id Subject Object Predicate Lexical cue
32645325-24794931-20773114 262-266 24794931 denotes 2014