PMC:7111504 / 19914-20192 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"292","span":{"begin":39,"end":42},"obj":"Gene"},{"id":"293","span":{"begin":239,"end":242},"obj":"Gene"},{"id":"294","span":{"begin":51,"end":60},"obj":"Chemical"},{"id":"295","span":{"begin":83,"end":92},"obj":"Chemical"}],"attributes":[{"id":"A292","pred":"tao:has_database_id","subj":"292","obj":"Gene:3107"},{"id":"A293","pred":"tao:has_database_id","subj":"293","obj":"Gene:3107"}],"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":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T211","span":{"begin":39,"end":42},"obj":"GO:0042611"},{"id":"T212","span":{"begin":239,"end":242},"obj":"GO:0042611"},{"id":"T92641","span":{"begin":39,"end":42},"obj":"GO:0042611"},{"id":"T12875","span":{"begin":239,"end":242},"obj":"GO:0042611"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T101","span":{"begin":39,"end":42},"obj":"Body_part"},{"id":"T102","span":{"begin":207,"end":221},"obj":"Body_part"},{"id":"T103","span":{"begin":239,"end":242},"obj":"Body_part"}],"attributes":[{"id":"A101","pred":"fma_id","subj":"T101","obj":"http://purl.org/sig/ont/fma/fma84079"},{"id":"A102","pred":"fma_id","subj":"T102","obj":"http://purl.org/sig/ont/fma/fma74616"},{"id":"A103","pred":"fma_id","subj":"T103","obj":"http://purl.org/sig/ont/fma/fma84079"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T240","span":{"begin":20,"end":27},"obj":"http://purl.obolibrary.org/obo/PR_000018263"},{"id":"T241","span":{"begin":109,"end":110},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T242","span":{"begin":170,"end":177},"obj":"http://purl.obolibrary.org/obo/PR_000018263"},{"id":"T243","span":{"begin":205,"end":206},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T244","span":{"begin":270,"end":277},"obj":"http://purl.obolibrary.org/obo/PR_000018263"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T139","span":{"begin":20,"end":27},"obj":"Chemical"},{"id":"T140","span":{"begin":159,"end":165},"obj":"Chemical"},{"id":"T141","span":{"begin":170,"end":177},"obj":"Chemical"},{"id":"T142","span":{"begin":270,"end":277},"obj":"Chemical"}],"attributes":[{"id":"A139","pred":"chebi_id","subj":"T139","obj":"http://purl.obolibrary.org/obo/CHEBI_16670"},{"id":"A140","pred":"chebi_id","subj":"T140","obj":"http://purl.obolibrary.org/obo/CHEBI_52214"},{"id":"A141","pred":"chebi_id","subj":"T141","obj":"http://purl.obolibrary.org/obo/CHEBI_16670"},{"id":"A142","pred":"chebi_id","subj":"T142","obj":"http://purl.obolibrary.org/obo/CHEBI_16670"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"LitCovid-sentences","denotations":[{"id":"T213","span":{"begin":0,"end":66},"obj":"Sentence"},{"id":"T214","span":{"begin":67,"end":278},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"MyTest","denotations":[{"id":"32269766-28978689-30420977","span":{"begin":64,"end":65},"obj":"28978689"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}

{"project":"2_test","denotations":[{"id":"32269766-28978689-30420977","span":{"begin":64,"end":65},"obj":"28978689"}],"text":"In order to predict peptide binding to MHC we used NetMHCpan V4 6. This version of NetMHCpan that comes with a number of improvements, incorporate both eluted ligand and peptide binding affinity data into a neural network model to predict MHC presentation of each given peptide."}