PubMed:17081044 JSONTXT

{"project":"sentences","denotations":[{"id":"TextSentencer_T1","span":{"begin":0,"end":128},"obj":"Sentence"},{"id":"TextSentencer_T2","span":{"begin":129,"end":265},"obj":"Sentence"},{"id":"TextSentencer_T3","span":{"begin":266,"end":453},"obj":"Sentence"},{"id":"TextSentencer_T4","span":{"begin":454,"end":616},"obj":"Sentence"},{"id":"TextSentencer_T5","span":{"begin":617,"end":741},"obj":"Sentence"},{"id":"TextSentencer_T6","span":{"begin":742,"end":908},"obj":"Sentence"},{"id":"TextSentencer_T7","span":{"begin":909,"end":1072},"obj":"Sentence"},{"id":"TextSentencer_T8","span":{"begin":1073,"end":1201},"obj":"Sentence"},{"id":"TextSentencer_T9","span":{"begin":1202,"end":1376},"obj":"Sentence"},{"id":"T1","span":{"begin":0,"end":128},"obj":"Sentence"},{"id":"T2","span":{"begin":129,"end":265},"obj":"Sentence"},{"id":"T3","span":{"begin":266,"end":453},"obj":"Sentence"},{"id":"T4","span":{"begin":454,"end":616},"obj":"Sentence"},{"id":"T5","span":{"begin":617,"end":741},"obj":"Sentence"},{"id":"T6","span":{"begin":742,"end":908},"obj":"Sentence"},{"id":"T7","span":{"begin":909,"end":1072},"obj":"Sentence"},{"id":"T8","span":{"begin":1073,"end":1201},"obj":"Sentence"},{"id":"T9","span":{"begin":1202,"end":1376},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"PubmedHPO","denotations":[{"id":"T1","span":{"begin":238,"end":259},"obj":"HP_0001658"},{"id":"T2","span":{"begin":536,"end":543},"obj":"HP_0011034"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"GlyCosmos600-FMA","denotations":[{"id":"T1","span":{"begin":530,"end":535},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"fma_id","subj":"T1","obj":"http://purl.org/sig/ont/fma/fma63083"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"DisGeNET5_gene_disease","denotations":[{"id":"17081044-3#113#126#gene7276","span":{"begin":567,"end":580},"obj":"gene7276"},{"id":"17081044-3#82#89#diseaseC0002726","span":{"begin":536,"end":543},"obj":"diseaseC0002726"},{"id":"17081044-3#159#161#diseaseC0027051","span":{"begin":613,"end":615},"obj":"diseaseC0027051"}],"relations":[{"id":"113#126#gene727682#89#diseaseC0002726","pred":"associated_with","subj":"17081044-3#113#126#gene7276","obj":"17081044-3#82#89#diseaseC0002726"},{"id":"113#126#gene7276159#161#diseaseC0027051","pred":"associated_with","subj":"17081044-3#113#126#gene7276","obj":"17081044-3#159#161#diseaseC0027051"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"GlyCosmos600-GlycoProteins","denotations":[{"id":"PD-GlycoProteins-B_T1","span":{"begin":567,"end":580},"obj":"https://acgg.asia/db/gpdb/id/GPDB0003303"},{"id":"PD-GlycoProteins-B_T2","span":{"begin":567,"end":580},"obj":"https://acgg.asia/db/gpdb/id/GPDB0005322"},{"id":"PD-GlycoProteins-B_T3","span":{"begin":567,"end":580},"obj":"https://acgg.asia/db/gpdb/id/GPDB0007383"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"pubmed-enju-pas","denotations":[{"id":"EnjuParser_T0","span":{"begin":0,"end":11},"obj":"JJ"},{"id":"EnjuParser_T1","span":{"begin":12,"end":16},"obj":"NN"},{"id":"EnjuParser_T2","span":{"begin":17,"end":30},"obj":"JJ"},{"id":"EnjuParser_T3","span":{"begin":31,"end":42},"obj":"NN"},{"id":"EnjuParser_T4","span":{"begin":43,"end":45},"obj":"IN"},{"id":"EnjuParser_T5","span":{"begin":46,"end":55},"obj":"NN"},{"id":"EnjuParser_T6","span":{"begin":56,"end":64},"obj":"NN"},{"id":"EnjuParser_T7","span":{"begin":64,"end":65},"obj":"-COLON-"},{"id":"EnjuParser_T8","span":{"begin":66,"end":67},"obj":"DT"},{"id":"EnjuParser_T9","span":{"begin":68,"end":73},"obj":"JJ"},{"id":"EnjuParser_T10","span":{"begin":74,"end":82},"obj":"NN"},{"id":"EnjuParser_T11","span":{"begin":83,"end":85},"obj":"TO"},{"id":"EnjuParser_T12","span":{"begin":86,"end":89},"obj":"DT"},{"id":"EnjuParser_T13","span":{"begin":90,"end":103},"obj":"NN"},{"id":"EnjuParser_T14","span":{"begin":104,"end":106},"obj":"IN"},{"id":"EnjuParser_T15","span":{"begin":107,"end":108},"obj":"DT"},{"id":"EnjuParser_T16","span":{"begin":109,"end":119},"obj":"JJ"},{"id":"EnjuParser_T17","span":{"begin":120,"end":127},"obj":"NN"},{"id":"EnjuParser_T18","span":{"begin":129,"end":137},"obj":"VBN"},{"id":"EnjuParser_T19","span":{"begin":138,"end":142},"obj":"RB"},{"id":"EnjuParser_T20","span":{"begin":143,"end":145},"obj":"VBZ"},{"id":"EnjuParser_T21","span":{"begin":146,"end":149},"obj":"DT"},{"id":"EnjuParser_T22","span":{"begin":150,"end":161},"obj":"NN"},{"id":"EnjuParser_T23","span":{"begin":162,"end":164},"obj":"IN"},{"id":"EnjuParser_T24","span":{"begin":165,"end":166},"obj":"DT"},{"id":"EnjuParser_T25","span":{"begin":167,"end":178},"obj":"JJ"},{"id":"EnjuParser_T26","span":{"begin":179,"end":183},"obj":"NN"},{"id":"EnjuParser_T27","span":{"begin":184,"end":197},"obj":"JJ"},{"id":"EnjuParser_T28","span":{"begin":198,"end":209},"obj":"NN"},{"id":"EnjuParser_T29","span":{"begin":210,"end":211},"obj":"-LRB-"},{"id":"EnjuParser_T30","span":{"begin":211,"end":215},"obj":"NN"},{"id":"EnjuParser_T31","span":{"begin":215,"end":216},"obj":"-RRB-"},{"id":"EnjuParser_T32","span":{"begin":217,"end":220},"obj":"IN"},{"id":"EnjuParser_T33","span":{"begin":221,"end":224},"obj":"DT"},{"id":"EnjuParser_T34","span":{"begin":225,"end":234},"obj":"NN"},{"id":"EnjuParser_T35","span":{"begin":235,"end":237},"obj":"IN"},{"id":"EnjuParser_T36","span":{"begin":238,"end":248},"obj":"JJ"},{"id":"EnjuParser_T37","span":{"begin":249,"end":259},"obj":"NN"},{"id":"EnjuParser_T38","span":{"begin":260,"end":261},"obj":"-LRB-"},{"id":"EnjuParser_T39","span":{"begin":261,"end":263},"obj":"NN"},{"id":"EnjuParser_T40","span":{"begin":263,"end":264},"obj":"-RRB-"},{"id":"EnjuParser_T41","span":{"begin":266,"end":269},"obj":"DT"},{"id":"EnjuParser_T42","span":{"begin":270,"end":275},"obj":"NN"},{"id":"EnjuParser_T43","span":{"begin":276,"end":278},"obj":"VBZ"},{"id":"EnjuParser_T44","span":{"begin":279,"end":282},"obj":"DT"},{"id":"EnjuParser_T45","span":{"begin":283,"end":290},"obj":"NN"},{"id":"EnjuParser_T46","span":{"begin":291,"end":293},"obj":"IN"},{"id":"EnjuParser_T47","span":{"begin":294,"end":295},"obj":"DT"},{"id":"EnjuParser_T48","span":{"begin":296,"end":301},"obj":"NN"},{"id":"EnjuParser_T49","span":{"begin":302,"end":306},"obj":"WDT"},{"id":"EnjuParser_T50","span":{"begin":307,"end":321},"obj":"RB"},{"id":"EnjuParser_T51","span":{"begin":322,"end":332},"obj":"VBZ"},{"id":"EnjuParser_T52","span":{"begin":333,"end":337},"obj":"IN"},{"id":"EnjuParser_T53","span":{"begin":338,"end":347},"obj":"NN"},{"id":"EnjuParser_T54","span":{"begin":348,"end":357},"obj":"NN"},{"id":"EnjuParser_T55","span":{"begin":357,"end":359},"obj":"--"},{"id":"EnjuParser_T56","span":{"begin":359,"end":361},"obj":"TO"},{"id":"EnjuParser_T57","span":{"begin":362,"end":376},"obj":"NN"},{"id":"EnjuParser_T58","span":{"begin":377,"end":380},"obj":"CC"},{"id":"EnjuParser_T59","span":{"begin":381,"end":393},"obj":"NN"},{"id":"EnjuParser_T60","span":{"begin":393,"end":395},"obj":"--"},{"id":"EnjuParser_T61","span":{"begin":395,"end":397},"obj":"TO"},{"id":"EnjuParser_T62","span":{"begin":398,"end":403},"obj":"NN"},{"id":"EnjuParser_T63","span":{"begin":404,"end":410},"obj":"NN"},{"id":"EnjuParser_T64","span":{"begin":410,"end":411},"obj":"-COMMA-"},{"id":"EnjuParser_T65","span":{"begin":412,"end":416},"obj":"NN"},{"id":"EnjuParser_T66","span":{"begin":417,"end":425},"obj":"NN"},{"id":"EnjuParser_T67","span":{"begin":425,"end":426},"obj":"-COMMA-"},{"id":"EnjuParser_T68","span":{"begin":427,"end":430},"obj":"CC"},{"id":"EnjuParser_T69","span":{"begin":431,"end":442},"obj":"JJ"},{"id":"EnjuParser_T70","span":{"begin":443,"end":452},"obj":"NN"},{"id":"EnjuParser_T71","span":{"begin":454,"end":460},"obj":"IN"},{"id":"EnjuParser_T72","span":{"begin":461,"end":469},"obj":"VBN"},{"id":"EnjuParser_T73","span":{"begin":470,"end":480},"obj":"NN"},{"id":"EnjuParser_T74","span":{"begin":481,"end":491},"obj":"NNS"},{"id":"EnjuParser_T75","span":{"begin":492,"end":506},"obj":"NNS"},{"id":"EnjuParser_T76","span":{"begin":506,"end":507},"obj":"-COMMA-"},{"id":"EnjuParser_T77","span":{"begin":508,"end":511},"obj":"CD"},{"id":"EnjuParser_T78","span":{"begin":512,"end":517},"obj":"JJ"},{"id":"EnjuParser_T79","span":{"begin":518,"end":528},"obj":"NNS"},{"id":"EnjuParser_T80","span":{"begin":528,"end":529},"obj":"-COMMA-"},{"id":"EnjuParser_T81","span":{"begin":530,"end":535},"obj":"NN"},{"id":"EnjuParser_T82","span":{"begin":536,"end":543},"obj":"NN"},{"id":"EnjuParser_T83","span":{"begin":544,"end":551},"obj":"NN"},{"id":"EnjuParser_T84","span":{"begin":552,"end":555},"obj":"CC"},{"id":"EnjuParser_T85","span":{"begin":556,"end":566},"obj":"JJ"},{"id":"EnjuParser_T86","span":{"begin":567,"end":580},"obj":"NN"},{"id":"EnjuParser_T87","span":{"begin":580,"end":581},"obj":"-COMMA-"},{"id":"EnjuParser_T88","span":{"begin":582,"end":586},"obj":"VBD"},{"id":"EnjuParser_T89","span":{"begin":587,"end":592},"obj":"VBN"},{"id":"EnjuParser_T90","span":{"begin":593,"end":595},"obj":"TO"},{"id":"EnjuParser_T91","span":{"begin":596,"end":598},"obj":"VB"},{"id":"EnjuParser_T92","span":{"begin":599,"end":609},"obj":"JJ"},{"id":"EnjuParser_T93","span":{"begin":610,"end":612},"obj":"TO"},{"id":"EnjuParser_T94","span":{"begin":613,"end":615},"obj":"NN"},{"id":"EnjuParser_T95","span":{"begin":617,"end":622},"obj":"DT"},{"id":"EnjuParser_T96","span":{"begin":623,"end":631},"obj":"JJ"},{"id":"EnjuParser_T97","span":{"begin":632,"end":639},"obj":"NNS"},{"id":"EnjuParser_T98","span":{"begin":640,"end":644},"obj":"VBD"},{"id":"EnjuParser_T99","span":{"begin":645,"end":657},"obj":"RB"},{"id":"EnjuParser_T100","span":{"begin":658,"end":666},"obj":"VBN"},{"id":"EnjuParser_T101","span":{"begin":667,"end":669},"obj":"IN"},{"id":"EnjuParser_T102","span":{"begin":670,"end":676},"obj":"JJR"},{"id":"EnjuParser_T103","span":{"begin":677,"end":684},"obj":"NNS"},{"id":"EnjuParser_T104","span":{"begin":685,"end":687},"obj":"IN"},{"id":"EnjuParser_T105","span":{"begin":688,"end":699},"obj":"NNS"},{"id":"EnjuParser_T106","span":{"begin":700,"end":702},"obj":"TO"},{"id":"EnjuParser_T107","span":{"begin":703,"end":709},"obj":"VB"},{"id":"EnjuParser_T108","span":{"begin":710,"end":715},"obj":"PRP-DOLLAR-"},{"id":"EnjuParser_T109","span":{"begin":716,"end":730},"obj":"NN"},{"id":"EnjuParser_T110","span":{"begin":731,"end":737},"obj":"IN"},{"id":"EnjuParser_T111","span":{"begin":738,"end":740},"obj":"NN"},{"id":"EnjuParser_T112","span":{"begin":742,"end":746},"obj":"IN"},{"id":"EnjuParser_T113","span":{"begin":747,"end":759},"obj":"NN"},{"id":"EnjuParser_T114","span":{"begin":759,"end":760},"obj":"-COMMA-"},{"id":"EnjuParser_T115","span":{"begin":761,"end":762},"obj":"DT"},{"id":"EnjuParser_T116","span":{"begin":763,"end":774},"obj":"JJ"},{"id":"EnjuParser_T117","span":{"begin":775,"end":780},"obj":"NN"},{"id":"EnjuParser_T118","span":{"begin":781,"end":784},"obj":"VBD"},{"id":"EnjuParser_T119","span":{"begin":785,"end":793},"obj":"VBN"},{"id":"EnjuParser_T120","span":{"begin":794,"end":798},"obj":"WDT"},{"id":"EnjuParser_T121","span":{"begin":799,"end":802},"obj":"VBD"},{"id":"EnjuParser_T122","span":{"begin":803,"end":810},"obj":"JJ"},{"id":"EnjuParser_T123","span":{"begin":811,"end":813},"obj":"IN"},{"id":"EnjuParser_T124","span":{"begin":814,"end":828},"obj":"RB"},{"id":"EnjuParser_T125","span":{"begin":829,"end":839},"obj":"VBG"},{"id":"EnjuParser_T126","span":{"begin":840,"end":843},"obj":"DT"},{"id":"EnjuParser_T127","span":{"begin":844,"end":847},"obj":"JJ"},{"id":"EnjuParser_T128","span":{"begin":848,"end":855},"obj":"NNS"},{"id":"EnjuParser_T129","span":{"begin":856,"end":860},"obj":"CC"},{"id":"EnjuParser_T130","span":{"begin":861,"end":862},"obj":"DT"},{"id":"EnjuParser_T131","span":{"begin":863,"end":873},"obj":"RB"},{"id":"EnjuParser_T132","span":{"begin":874,"end":885},"obj":"VBN"},{"id":"EnjuParser_T133","span":{"begin":886,"end":895},"obj":"NN"},{"id":"EnjuParser_T134","span":{"begin":896,"end":897},"obj":"-LRB-"},{"id":"EnjuParser_T135","span":{"begin":897,"end":906},"obj":"NN"},{"id":"EnjuParser_T136","span":{"begin":906,"end":907},"obj":"-RRB-"},{"id":"EnjuParser_T137","span":{"begin":909,"end":912},"obj":"DT"},{"id":"EnjuParser_T138","span":{"begin":913,"end":924},"obj":"JJ"},{"id":"EnjuParser_T139","span":{"begin":925,"end":929},"obj":"NN"},{"id":"EnjuParser_T140","span":{"begin":930,"end":933},"obj":"VBD"},{"id":"EnjuParser_T141","span":{"begin":934,"end":941},"obj":"VBN"},{"id":"EnjuParser_T142","span":{"begin":942,"end":944},"obj":"TO"},{"id":"EnjuParser_T143","span":{"begin":945,"end":948},"obj":"CD"},{"id":"EnjuParser_T144","span":{"begin":949,"end":958},"obj":"JJ"},{"id":"EnjuParser_T145","span":{"begin":959,"end":963},"obj":"NNS"},{"id":"EnjuParser_T146","span":{"begin":964,"end":973},"obj":"VBN"},{"id":"EnjuParser_T147","span":{"begin":974,"end":976},"obj":"IN"},{"id":"EnjuParser_T148","span":{"begin":977,"end":993},"obj":"JJ"},{"id":"EnjuParser_T149","span":{"begin":994,"end":997},"obj":"CC"},{"id":"EnjuParser_T150","span":{"begin":998,"end":1014},"obj":"JJ"},{"id":"EnjuParser_T151","span":{"begin":1014,"end":1015},"obj":"-COMMA-"},{"id":"EnjuParser_T152","span":{"begin":1016,"end":1021},"obj":"WDT"},{"id":"EnjuParser_T153","span":{"begin":1022,"end":1028},"obj":"VBD"},{"id":"EnjuParser_T154","span":{"begin":1029,"end":1031},"obj":"IN"},{"id":"EnjuParser_T155","span":{"begin":1032,"end":1040},"obj":"NN"},{"id":"EnjuParser_T156","span":{"begin":1041,"end":1044},"obj":"CC"},{"id":"EnjuParser_T157","span":{"begin":1045,"end":1049},"obj":"NN"},{"id":"EnjuParser_T158","span":{"begin":1050,"end":1057},"obj":"NNS"},{"id":"EnjuParser_T159","span":{"begin":1057,"end":1058},"obj":"-COMMA-"},{"id":"EnjuParser_T160","span":{"begin":1059,"end":1071},"obj":"RB"},{"id":"EnjuParser_T161","span":{"begin":1073,"end":1077},"obj":"NN"},{"id":"EnjuParser_T162","span":{"begin":1078,"end":1088},"obj":"NN"},{"id":"EnjuParser_T163","span":{"begin":1089,"end":1094},"obj":"VBG"},{"id":"EnjuParser_T164","span":{"begin":1095,"end":1101},"obj":"CC"},{"id":"EnjuParser_T165","span":{"begin":1102,"end":1108},"obj":"JJ"},{"id":"EnjuParser_T166","span":{"begin":1109,"end":1118},"obj":"NN"},{"id":"EnjuParser_T167","span":{"begin":1119,"end":1125},"obj":"NNS"},{"id":"EnjuParser_T168","span":{"begin":1126,"end":1128},"obj":"CC"},{"id":"EnjuParser_T169","span":{"begin":1129,"end":1141},"obj":"JJ"},{"id":"EnjuParser_T170","span":{"begin":1142,"end":1150},"obj":"NN"},{"id":"EnjuParser_T171","span":{"begin":1151,"end":1160},"obj":"VBD"},{"id":"EnjuParser_T172","span":{"begin":1161,"end":1174},"obj":"NNS"},{"id":"EnjuParser_T173","span":{"begin":1175,"end":1178},"obj":"CC"},{"id":"EnjuParser_T174","span":{"begin":1179,"end":1192},"obj":"NNS"},{"id":"EnjuParser_T175","span":{"begin":1193,"end":1195},"obj":"IN"},{"id":"EnjuParser_T176","span":{"begin":1196,"end":1197},"obj":"SYM"},{"id":"EnjuParser_T177","span":{"begin":1197,"end":1199},"obj":"CD"},{"id":"EnjuParser_T178","span":{"begin":1199,"end":1200},"obj":"NN"},{"id":"EnjuParser_T179","span":{"begin":1202,"end":1207},"obj":"DT"},{"id":"EnjuParser_T180","span":{"begin":1208,"end":1216},"obj":"NNS"},{"id":"EnjuParser_T181","span":{"begin":1217,"end":1227},"obj":"VBP"},{"id":"EnjuParser_T182","span":{"begin":1228,"end":1231},"obj":"DT"},{"id":"EnjuParser_T183","span":{"begin":1232,"end":1242},"obj":"NN"},{"id":"EnjuParser_T184","span":{"begin":1243,"end":1245},"obj":"IN"},{"id":"EnjuParser_T185","span":{"begin":1246,"end":1251},"obj":"VBG"},{"id":"EnjuParser_T186","span":{"begin":1252,"end":1262},"obj":"JJ"},{"id":"EnjuParser_T187","span":{"begin":1263,"end":1273},"obj":"NNS"},{"id":"EnjuParser_T188","span":{"begin":1274,"end":1276},"obj":"IN"},{"id":"EnjuParser_T189","span":{"begin":1277,"end":1285},"obj":"JJ"},{"id":"EnjuParser_T190","span":{"begin":1286,"end":1296},"obj":"NNS"},{"id":"EnjuParser_T191","span":{"begin":1297,"end":1299},"obj":"TO"},{"id":"EnjuParser_T192","span":{"begin":1300,"end":1308},"obj":"VB"},{"id":"EnjuParser_T193","span":{"begin":1309,"end":1319},"obj":"NNS"},{"id":"EnjuParser_T194","span":{"begin":1320,"end":1323},"obj":"CC"},{"id":"EnjuParser_T195","span":{"begin":1324,"end":1331},"obj":"VB"},{"id":"EnjuParser_T196","span":{"begin":1332,"end":1348},"obj":"JJ"},{"id":"EnjuParser_T197","span":{"begin":1349,"end":1355},"obj":"NNS"},{"id":"EnjuParser_T198","span":{"begin":1356,"end":1364},"obj":"JJ"},{"id":"EnjuParser_T199","span":{"begin":1365,"end":1367},"obj":"TO"},{"id":"EnjuParser_T200","span":{"begin":1368,"end":1375},"obj":"NN"}],"relations":[{"id":"EnjuParser_R0","pred":"arg1Of","subj":"EnjuParser_T3","obj":"EnjuParser_T0"},{"id":"EnjuParser_R1","pred":"arg1Of","subj":"EnjuParser_T3","obj":"EnjuParser_T1"},{"id":"EnjuParser_R2","pred":"arg1Of","subj":"EnjuParser_T3","obj":"EnjuParser_T2"},{"id":"EnjuParser_R3","pred":"arg1Of","subj":"EnjuParser_T10","obj":"EnjuParser_T3"},{"id":"EnjuParser_R4","pred":"arg1Of","subj":"EnjuParser_T3","obj":"EnjuParser_T4"},{"id":"EnjuParser_R5","pred":"arg2Of","subj":"EnjuParser_T6","obj":"EnjuParser_T4"},{"id":"EnjuParser_R6","pred":"arg1Of","subj":"EnjuParser_T6","obj":"EnjuParser_T5"},{"id":"EnjuParser_R7","pred":"arg1Of","subj":"EnjuParser_T3","obj":"EnjuParser_T7"},{"id":"EnjuParser_R8","pred":"arg1Of","subj":"EnjuParser_T10","obj":"EnjuParser_T8"},{"id":"EnjuParser_R9","pred":"arg1Of","subj":"EnjuParser_T10","obj":"EnjuParser_T9"},{"id":"EnjuParser_R10","pred":"arg1Of","subj":"EnjuParser_T10","obj":"EnjuParser_T11"},{"id":"EnjuParser_R11","pred":"arg2Of","subj":"EnjuParser_T13","obj":"EnjuParser_T11"},{"id":"EnjuParser_R12","pred":"arg1Of","subj":"EnjuParser_T13","obj":"EnjuParser_T12"},{"id":"EnjuParser_R13","pred":"arg1Of","subj":"EnjuParser_T13","obj":"EnjuParser_T14"},{"id":"EnjuParser_R14","pred":"arg2Of","subj":"EnjuParser_T17","obj":"EnjuParser_T14"},{"id":"EnjuParser_R15","pred":"arg1Of","subj":"EnjuParser_T17","obj":"EnjuParser_T15"},{"id":"EnjuParser_R16","pred":"arg1Of","subj":"EnjuParser_T17","obj":"EnjuParser_T16"},{"id":"EnjuParser_R17","pred":"arg2Of","subj":"EnjuParser_T22","obj":"EnjuParser_T18"},{"id":"EnjuParser_R18","pred":"modOf","subj":"EnjuParser_T20","obj":"EnjuParser_T18"},{"id":"EnjuParser_R19","pred":"arg1Of","subj":"EnjuParser_T22","obj":"EnjuParser_T19"},{"id":"EnjuParser_R20","pred":"arg1Of","subj":"EnjuParser_T22","obj":"EnjuParser_T20"},{"id":"EnjuParser_R21","pred":"arg2Of","subj":"EnjuParser_T19","obj":"EnjuParser_T20"},{"id":"EnjuParser_R22","pred":"arg1Of","subj":"EnjuParser_T22","obj":"EnjuParser_T21"},{"id":"EnjuParser_R23","pred":"arg1Of","subj":"EnjuParser_T22","obj":"EnjuParser_T23"},{"id":"EnjuParser_R24","pred":"arg2Of","subj":"EnjuParser_T28","obj":"EnjuParser_T23"},{"id":"EnjuParser_R25","pred":"arg1Of","subj":"EnjuParser_T28","obj":"EnjuParser_T24"},{"id":"EnjuParser_R26","pred":"arg1Of","subj":"EnjuParser_T28","obj":"EnjuParser_T25"},{"id":"EnjuParser_R27","pred":"arg1Of","subj":"EnjuParser_T28","obj":"EnjuParser_T26"},{"id":"EnjuParser_R28","pred":"arg1Of","subj":"EnjuParser_T28","obj":"EnjuParser_T27"},{"id":"EnjuParser_R29","pred":"arg1Of","subj":"EnjuParser_T28","obj":"EnjuParser_T29"},{"id":"EnjuParser_R30","pred":"arg2Of","subj":"EnjuParser_T30","obj":"EnjuParser_T29"},{"id":"EnjuParser_R31","pred":"arg3Of","subj":"EnjuParser_T31","obj":"EnjuParser_T29"},{"id":"EnjuParser_R32","pred":"arg1Of","subj":"EnjuParser_T22","obj":"EnjuParser_T32"},{"id":"EnjuParser_R33","pred":"arg2Of","subj":"EnjuParser_T34","obj":"EnjuParser_T32"},{"id":"EnjuParser_R34","pred":"arg1Of","subj":"EnjuParser_T34","obj":"EnjuParser_T33"},{"id":"EnjuParser_R35","pred":"arg1Of","subj":"EnjuParser_T34","obj":"EnjuParser_T35"},{"id":"EnjuParser_R36","pred":"arg2Of","subj":"EnjuParser_T37","obj":"EnjuParser_T35"},{"id":"EnjuParser_R37","pred":"arg1Of","subj":"EnjuParser_T37","obj":"EnjuParser_T36"},{"id":"EnjuParser_R38","pred":"arg1Of","subj":"EnjuParser_T37","obj":"EnjuParser_T38"},{"id":"EnjuParser_R39","pred":"arg2Of","subj":"EnjuParser_T39","obj":"EnjuParser_T38"},{"id":"EnjuParser_R40","pred":"arg3Of","subj":"EnjuParser_T40","obj":"EnjuParser_T38"},{"id":"EnjuParser_R41","pred":"arg1Of","subj":"EnjuParser_T42","obj":"EnjuParser_T41"},{"id":"EnjuParser_R42","pred":"arg1Of","subj":"EnjuParser_T42","obj":"EnjuParser_T43"},{"id":"EnjuParser_R43","pred":"arg2Of","subj":"EnjuParser_T45","obj":"EnjuParser_T43"},{"id":"EnjuParser_R44","pred":"arg1Of","subj":"EnjuParser_T45","obj":"EnjuParser_T44"},{"id":"EnjuParser_R45","pred":"arg1Of","subj":"EnjuParser_T45","obj":"EnjuParser_T46"},{"id":"EnjuParser_R46","pred":"arg2Of","subj":"EnjuParser_T48","obj":"EnjuParser_T46"},{"id":"EnjuParser_R47","pred":"arg1Of","subj":"EnjuParser_T48","obj":"EnjuParser_T47"},{"id":"EnjuParser_R48","pred":"arg1Of","subj":"EnjuParser_T48","obj":"EnjuParser_T49"},{"id":"EnjuParser_R49","pred":"arg1Of","subj":"EnjuParser_T51","obj":"EnjuParser_T50"},{"id":"EnjuParser_R50","pred":"arg1Of","subj":"EnjuParser_T48","obj":"EnjuParser_T51"},{"id":"EnjuParser_R51","pred":"arg1Of","subj":"EnjuParser_T51","obj":"EnjuParser_T52"},{"id":"EnjuParser_R52","pred":"arg2Of","subj":"EnjuParser_T54","obj":"EnjuParser_T52"},{"id":"EnjuParser_R53","pred":"arg1Of","subj":"EnjuParser_T54","obj":"EnjuParser_T53"},{"id":"EnjuParser_R54","pred":"arg1Of","subj":"EnjuParser_T54","obj":"EnjuParser_T55"},{"id":"EnjuParser_R55","pred":"arg2Of","subj":"EnjuParser_T56","obj":"EnjuParser_T55"},{"id":"EnjuParser_R56","pred":"arg3Of","subj":"EnjuParser_T60","obj":"EnjuParser_T55"},{"id":"EnjuParser_R57","pred":"arg2Of","subj":"EnjuParser_T58","obj":"EnjuParser_T56"},{"id":"EnjuParser_R58","pred":"arg1Of","subj":"EnjuParser_T57","obj":"EnjuParser_T58"},{"id":"EnjuParser_R59","pred":"arg2Of","subj":"EnjuParser_T59","obj":"EnjuParser_T58"},{"id":"EnjuParser_R60","pred":"arg1Of","subj":"EnjuParser_T55","obj":"EnjuParser_T61"},{"id":"EnjuParser_R61","pred":"arg2Of","subj":"EnjuParser_T68","obj":"EnjuParser_T61"},{"id":"EnjuParser_R62","pred":"arg1Of","subj":"EnjuParser_T63","obj":"EnjuParser_T62"},{"id":"EnjuParser_R63","pred":"arg1Of","subj":"EnjuParser_T63","obj":"EnjuParser_T64"},{"id":"EnjuParser_R64","pred":"arg2Of","subj":"EnjuParser_T66","obj":"EnjuParser_T64"},{"id":"EnjuParser_R65","pred":"arg1Of","subj":"EnjuParser_T66","obj":"EnjuParser_T65"},{"id":"EnjuParser_R66","pred":"arg1Of","subj":"EnjuParser_T68","obj":"EnjuParser_T67"},{"id":"EnjuParser_R67","pred":"arg1Of","subj":"EnjuParser_T64","obj":"EnjuParser_T68"},{"id":"EnjuParser_R68","pred":"arg2Of","subj":"EnjuParser_T70","obj":"EnjuParser_T68"},{"id":"EnjuParser_R69","pred":"arg1Of","subj":"EnjuParser_T70","obj":"EnjuParser_T69"},{"id":"EnjuParser_R70","pred":"arg1Of","subj":"EnjuParser_T89","obj":"EnjuParser_T71"},{"id":"EnjuParser_R71","pred":"arg2Of","subj":"EnjuParser_T75","obj":"EnjuParser_T71"},{"id":"EnjuParser_R72","pred":"arg2Of","subj":"EnjuParser_T75","obj":"EnjuParser_T72"},{"id":"EnjuParser_R73","pred":"arg1Of","subj":"EnjuParser_T75","obj":"EnjuParser_T73"},{"id":"EnjuParser_R74","pred":"arg1Of","subj":"EnjuParser_T75","obj":"EnjuParser_T74"},{"id":"EnjuParser_R75","pred":"arg1Of","subj":"EnjuParser_T89","obj":"EnjuParser_T76"},{"id":"EnjuParser_R76","pred":"arg1Of","subj":"EnjuParser_T79","obj":"EnjuParser_T77"},{"id":"EnjuParser_R77","pred":"arg1Of","subj":"EnjuParser_T79","obj":"EnjuParser_T78"},{"id":"EnjuParser_R78","pred":"arg1Of","subj":"EnjuParser_T79","obj":"EnjuParser_T80"},{"id":"EnjuParser_R79","pred":"arg2Of","subj":"EnjuParser_T84","obj":"EnjuParser_T80"},{"id":"EnjuParser_R80","pred":"arg1Of","subj":"EnjuParser_T83","obj":"EnjuParser_T81"},{"id":"EnjuParser_R81","pred":"arg1Of","subj":"EnjuParser_T83","obj":"EnjuParser_T82"},{"id":"EnjuParser_R82","pred":"arg1Of","subj":"EnjuParser_T83","obj":"EnjuParser_T84"},{"id":"EnjuParser_R83","pred":"arg2Of","subj":"EnjuParser_T86","obj":"EnjuParser_T84"},{"id":"EnjuParser_R84","pred":"arg1Of","subj":"EnjuParser_T86","obj":"EnjuParser_T85"},{"id":"EnjuParser_R85","pred":"arg1Of","subj":"EnjuParser_T89","obj":"EnjuParser_T87"},{"id":"EnjuParser_R86","pred":"arg1Of","subj":"EnjuParser_T79","obj":"EnjuParser_T88"},{"id":"EnjuParser_R87","pred":"arg2Of","subj":"EnjuParser_T89","obj":"EnjuParser_T88"},{"id":"EnjuParser_R88","pred":"arg2Of","subj":"EnjuParser_T79","obj":"EnjuParser_T89"},{"id":"EnjuParser_R89","pred":"arg3Of","subj":"EnjuParser_T91","obj":"EnjuParser_T89"},{"id":"EnjuParser_R90","pred":"arg1Of","subj":"EnjuParser_T91","obj":"EnjuParser_T90"},{"id":"EnjuParser_R91","pred":"arg1Of","subj":"EnjuParser_T79","obj":"EnjuParser_T91"},{"id":"EnjuParser_R92","pred":"arg2Of","subj":"EnjuParser_T92","obj":"EnjuParser_T91"},{"id":"EnjuParser_R93","pred":"arg1Of","subj":"EnjuParser_T79","obj":"EnjuParser_T92"},{"id":"EnjuParser_R94","pred":"arg1Of","subj":"EnjuParser_T92","obj":"EnjuParser_T93"},{"id":"EnjuParser_R95","pred":"arg2Of","subj":"EnjuParser_T94","obj":"EnjuParser_T93"},{"id":"EnjuParser_R96","pred":"arg1Of","subj":"EnjuParser_T97","obj":"EnjuParser_T95"},{"id":"EnjuParser_R97","pred":"arg1Of","subj":"EnjuParser_T97","obj":"EnjuParser_T96"},{"id":"EnjuParser_R98","pred":"arg1Of","subj":"EnjuParser_T97","obj":"EnjuParser_T98"},{"id":"EnjuParser_R99","pred":"arg2Of","subj":"EnjuParser_T100","obj":"EnjuParser_T98"},{"id":"EnjuParser_R100","pred":"arg1Of","subj":"EnjuParser_T100","obj":"EnjuParser_T99"},{"id":"EnjuParser_R101","pred":"arg2Of","subj":"EnjuParser_T97","obj":"EnjuParser_T100"},{"id":"EnjuParser_R102","pred":"arg1Of","subj":"EnjuParser_T100","obj":"EnjuParser_T101"},{"id":"EnjuParser_R103","pred":"arg2Of","subj":"EnjuParser_T103","obj":"EnjuParser_T101"},{"id":"EnjuParser_R104","pred":"arg1Of","subj":"EnjuParser_T103","obj":"EnjuParser_T102"},{"id":"EnjuParser_R105","pred":"arg1Of","subj":"EnjuParser_T103","obj":"EnjuParser_T104"},{"id":"EnjuParser_R106","pred":"arg2Of","subj":"EnjuParser_T105","obj":"EnjuParser_T104"},{"id":"EnjuParser_R107","pred":"arg1Of","subj":"EnjuParser_T107","obj":"EnjuParser_T106"},{"id":"EnjuParser_R108","pred":"modOf","subj":"EnjuParser_T105","obj":"EnjuParser_T106"},{"id":"EnjuParser_R109","pred":"arg2Of","subj":"EnjuParser_T109","obj":"EnjuParser_T107"},{"id":"EnjuParser_R110","pred":"arg1Of","subj":"EnjuParser_T109","obj":"EnjuParser_T108"},{"id":"EnjuParser_R111","pred":"arg1Of","subj":"EnjuParser_T109","obj":"EnjuParser_T110"},{"id":"EnjuParser_R112","pred":"arg2Of","subj":"EnjuParser_T111","obj":"EnjuParser_T110"},{"id":"EnjuParser_R113","pred":"arg1Of","subj":"EnjuParser_T121","obj":"EnjuParser_T112"},{"id":"EnjuParser_R114","pred":"arg2Of","subj":"EnjuParser_T113","obj":"EnjuParser_T112"},{"id":"EnjuParser_R115","pred":"arg1Of","subj":"EnjuParser_T121","obj":"EnjuParser_T114"},{"id":"EnjuParser_R116","pred":"arg1Of","subj":"EnjuParser_T117","obj":"EnjuParser_T115"},{"id":"EnjuParser_R117","pred":"arg1Of","subj":"EnjuParser_T117","obj":"EnjuParser_T116"},{"id":"EnjuParser_R118","pred":"arg1Of","subj":"EnjuParser_T117","obj":"EnjuParser_T118"},{"id":"EnjuParser_R119","pred":"arg2Of","subj":"EnjuParser_T119","obj":"EnjuParser_T118"},{"id":"EnjuParser_R120","pred":"modOf","subj":"EnjuParser_T121","obj":"EnjuParser_T118"},{"id":"EnjuParser_R121","pred":"arg2Of","subj":"EnjuParser_T117","obj":"EnjuParser_T119"},{"id":"EnjuParser_R122","pred":"arg1Of","subj":"EnjuParser_T120","obj":"EnjuParser_T121"},{"id":"EnjuParser_R123","pred":"arg2Of","subj":"EnjuParser_T122","obj":"EnjuParser_T121"},{"id":"EnjuParser_R124","pred":"arg1Of","subj":"EnjuParser_T120","obj":"EnjuParser_T122"},{"id":"EnjuParser_R125","pred":"arg1Of","subj":"EnjuParser_T122","obj":"EnjuParser_T123"},{"id":"EnjuParser_R126","pred":"arg2Of","subj":"EnjuParser_T125","obj":"EnjuParser_T123"},{"id":"EnjuParser_R127","pred":"arg1Of","subj":"EnjuParser_T125","obj":"EnjuParser_T124"},{"id":"EnjuParser_R128","pred":"arg1Of","subj":"EnjuParser_T120","obj":"EnjuParser_T125"},{"id":"EnjuParser_R129","pred":"arg2Of","subj":"EnjuParser_T129","obj":"EnjuParser_T125"},{"id":"EnjuParser_R130","pred":"arg1Of","subj":"EnjuParser_T128","obj":"EnjuParser_T126"},{"id":"EnjuParser_R131","pred":"arg1Of","subj":"EnjuParser_T128","obj":"EnjuParser_T127"},{"id":"EnjuParser_R132","pred":"arg1Of","subj":"EnjuParser_T128","obj":"EnjuParser_T129"},{"id":"EnjuParser_R133","pred":"arg2Of","subj":"EnjuParser_T133","obj":"EnjuParser_T129"},{"id":"EnjuParser_R134","pred":"arg1Of","subj":"EnjuParser_T133","obj":"EnjuParser_T130"},{"id":"EnjuParser_R135","pred":"arg1Of","subj":"EnjuParser_T132","obj":"EnjuParser_T131"},{"id":"EnjuParser_R136","pred":"arg1Of","subj":"EnjuParser_T133","obj":"EnjuParser_T132"},{"id":"EnjuParser_R137","pred":"arg1Of","subj":"EnjuParser_T133","obj":"EnjuParser_T134"},{"id":"EnjuParser_R138","pred":"arg2Of","subj":"EnjuParser_T135","obj":"EnjuParser_T134"},{"id":"EnjuParser_R139","pred":"arg3Of","subj":"EnjuParser_T136","obj":"EnjuParser_T134"},{"id":"EnjuParser_R140","pred":"arg1Of","subj":"EnjuParser_T139","obj":"EnjuParser_T137"},{"id":"EnjuParser_R141","pred":"arg1Of","subj":"EnjuParser_T139","obj":"EnjuParser_T138"},{"id":"EnjuParser_R142","pred":"arg1Of","subj":"EnjuParser_T139","obj":"EnjuParser_T140"},{"id":"EnjuParser_R143","pred":"arg2Of","subj":"EnjuParser_T141","obj":"EnjuParser_T140"},{"id":"EnjuParser_R144","pred":"arg2Of","subj":"EnjuParser_T139","obj":"EnjuParser_T141"},{"id":"EnjuParser_R145","pred":"arg1Of","subj":"EnjuParser_T141","obj":"EnjuParser_T142"},{"id":"EnjuParser_R146","pred":"arg2Of","subj":"EnjuParser_T145","obj":"EnjuParser_T142"},{"id":"EnjuParser_R147","pred":"arg1Of","subj":"EnjuParser_T145","obj":"EnjuParser_T143"},{"id":"EnjuParser_R148","pred":"arg1Of","subj":"EnjuParser_T145","obj":"EnjuParser_T144"},{"id":"EnjuParser_R149","pred":"arg2Of","subj":"EnjuParser_T145","obj":"EnjuParser_T146"},{"id":"EnjuParser_R150","pred":"arg1Of","subj":"EnjuParser_T145","obj":"EnjuParser_T147"},{"id":"EnjuParser_R151","pred":"arg2Of","subj":"EnjuParser_T149","obj":"EnjuParser_T147"},{"id":"EnjuParser_R152","pred":"arg1Of","subj":"EnjuParser_T148","obj":"EnjuParser_T149"},{"id":"EnjuParser_R153","pred":"arg2Of","subj":"EnjuParser_T150","obj":"EnjuParser_T149"},{"id":"EnjuParser_R154","pred":"arg1Of","subj":"EnjuParser_T141","obj":"EnjuParser_T151"},{"id":"EnjuParser_R155","pred":"arg1Of","subj":"EnjuParser_T141","obj":"EnjuParser_T152"},{"id":"EnjuParser_R156","pred":"arg1Of","subj":"EnjuParser_T141","obj":"EnjuParser_T153"},{"id":"EnjuParser_R157","pred":"arg1Of","subj":"EnjuParser_T153","obj":"EnjuParser_T154"},{"id":"EnjuParser_R158","pred":"arg2Of","subj":"EnjuParser_T156","obj":"EnjuParser_T154"},{"id":"EnjuParser_R159","pred":"arg1Of","subj":"EnjuParser_T155","obj":"EnjuParser_T156"},{"id":"EnjuParser_R160","pred":"arg2Of","subj":"EnjuParser_T158","obj":"EnjuParser_T156"},{"id":"EnjuParser_R161","pred":"arg1Of","subj":"EnjuParser_T158","obj":"EnjuParser_T157"},{"id":"EnjuParser_R162","pred":"arg1Of","subj":"EnjuParser_T153","obj":"EnjuParser_T159"},{"id":"EnjuParser_R163","pred":"arg1Of","subj":"EnjuParser_T153","obj":"EnjuParser_T160"},{"id":"EnjuParser_R164","pred":"arg1Of","subj":"EnjuParser_T162","obj":"EnjuParser_T161"},{"id":"EnjuParser_R165","pred":"arg1Of","subj":"EnjuParser_T162","obj":"EnjuParser_T163"},{"id":"EnjuParser_R166","pred":"arg2Of","subj":"EnjuParser_T168","obj":"EnjuParser_T163"},{"id":"EnjuParser_R167","pred":"arg1Of","subj":"EnjuParser_T168","obj":"EnjuParser_T164"},{"id":"EnjuParser_R168","pred":"arg1Of","subj":"EnjuParser_T167","obj":"EnjuParser_T165"},{"id":"EnjuParser_R169","pred":"arg1Of","subj":"EnjuParser_T167","obj":"EnjuParser_T166"},{"id":"EnjuParser_R170","pred":"arg1Of","subj":"EnjuParser_T167","obj":"EnjuParser_T168"},{"id":"EnjuParser_R171","pred":"arg2Of","subj":"EnjuParser_T170","obj":"EnjuParser_T168"},{"id":"EnjuParser_R172","pred":"arg1Of","subj":"EnjuParser_T170","obj":"EnjuParser_T169"},{"id":"EnjuParser_R173","pred":"arg1Of","subj":"EnjuParser_T162","obj":"EnjuParser_T171"},{"id":"EnjuParser_R174","pred":"arg2Of","subj":"EnjuParser_T173","obj":"EnjuParser_T171"},{"id":"EnjuParser_R175","pred":"arg1Of","subj":"EnjuParser_T172","obj":"EnjuParser_T173"},{"id":"EnjuParser_R176","pred":"arg2Of","subj":"EnjuParser_T174","obj":"EnjuParser_T173"},{"id":"EnjuParser_R177","pred":"arg1Of","subj":"EnjuParser_T173","obj":"EnjuParser_T175"},{"id":"EnjuParser_R178","pred":"arg2Of","subj":"EnjuParser_T178","obj":"EnjuParser_T175"},{"id":"EnjuParser_R179","pred":"arg1Of","subj":"EnjuParser_T177","obj":"EnjuParser_T176"},{"id":"EnjuParser_R180","pred":"arg1Of","subj":"EnjuParser_T178","obj":"EnjuParser_T177"},{"id":"EnjuParser_R181","pred":"arg1Of","subj":"EnjuParser_T180","obj":"EnjuParser_T179"},{"id":"EnjuParser_R182","pred":"arg1Of","subj":"EnjuParser_T180","obj":"EnjuParser_T181"},{"id":"EnjuParser_R183","pred":"arg2Of","subj":"EnjuParser_T183","obj":"EnjuParser_T181"},{"id":"EnjuParser_R184","pred":"arg1Of","subj":"EnjuParser_T183","obj":"EnjuParser_T182"},{"id":"EnjuParser_R185","pred":"arg1Of","subj":"EnjuParser_T183","obj":"EnjuParser_T184"},{"id":"EnjuParser_R186","pred":"arg2Of","subj":"EnjuParser_T185","obj":"EnjuParser_T184"},{"id":"EnjuParser_R187","pred":"arg2Of","subj":"EnjuParser_T187","obj":"EnjuParser_T185"},{"id":"EnjuParser_R188","pred":"arg3Of","subj":"EnjuParser_T194","obj":"EnjuParser_T185"},{"id":"EnjuParser_R189","pred":"arg1Of","subj":"EnjuParser_T187","obj":"EnjuParser_T186"},{"id":"EnjuParser_R190","pred":"arg1Of","subj":"EnjuParser_T187","obj":"EnjuParser_T188"},{"id":"EnjuParser_R191","pred":"arg2Of","subj":"EnjuParser_T190","obj":"EnjuParser_T188"},{"id":"EnjuParser_R192","pred":"arg1Of","subj":"EnjuParser_T190","obj":"EnjuParser_T189"},{"id":"EnjuParser_R193","pred":"arg1Of","subj":"EnjuParser_T194","obj":"EnjuParser_T191"},{"id":"EnjuParser_R194","pred":"arg2Of","subj":"EnjuParser_T193","obj":"EnjuParser_T192"},{"id":"EnjuParser_R195","pred":"arg1Of","subj":"EnjuParser_T192","obj":"EnjuParser_T194"},{"id":"EnjuParser_R196","pred":"arg2Of","subj":"EnjuParser_T195","obj":"EnjuParser_T194"},{"id":"EnjuParser_R197","pred":"arg2Of","subj":"EnjuParser_T197","obj":"EnjuParser_T195"},{"id":"EnjuParser_R198","pred":"arg1Of","subj":"EnjuParser_T197","obj":"EnjuParser_T196"},{"id":"EnjuParser_R199","pred":"arg1Of","subj":"EnjuParser_T197","obj":"EnjuParser_T198"},{"id":"EnjuParser_R200","pred":"arg1Of","subj":"EnjuParser_T198","obj":"EnjuParser_T199"},{"id":"EnjuParser_R201","pred":"arg2Of","subj":"EnjuParser_T200","obj":"EnjuParser_T199"}],"namespaces":[{"prefix":"_base","uri":"http://kmcs.nii.ac.jp/enju/"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"HP-phenotype","denotations":[{"id":"T1","span":{"begin":109,"end":127},"obj":"Phenotype"},{"id":"T2","span":{"begin":238,"end":259},"obj":"Phenotype"},{"id":"T3","span":{"begin":261,"end":263},"obj":"Phenotype"},{"id":"T4","span":{"begin":613,"end":615},"obj":"Phenotype"},{"id":"T5","span":{"begin":738,"end":740},"obj":"Phenotype"},{"id":"T6","span":{"begin":886,"end":888},"obj":"Phenotype"},{"id":"T7","span":{"begin":980,"end":982},"obj":"Phenotype"},{"id":"T8","span":{"begin":1001,"end":1003},"obj":"Phenotype"}],"attributes":[{"id":"A1","pred":"hp_id","subj":"T1","obj":"HP:0001658"},{"id":"A2","pred":"hp_id","subj":"T2","obj":"HP:0001658"},{"id":"A3","pred":"hp_id","subj":"T3","obj":"HP:0001658"},{"id":"A4","pred":"hp_id","subj":"T4","obj":"HP:0001658"},{"id":"A5","pred":"hp_id","subj":"T5","obj":"HP:0001658"},{"id":"A6","pred":"hp_id","subj":"T6","obj":"HP:0001658"},{"id":"A7","pred":"hp_id","subj":"T7","obj":"HP:0001658"},{"id":"A8","pred":"hp_id","subj":"T8","obj":"HP:0001658"}],"namespaces":[{"prefix":"HP","uri":"http://purl.obolibrary.org/obo/HP_"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}

{"project":"mondo_disease","denotations":[{"id":"T1","span":{"begin":109,"end":127},"obj":"Disease"},{"id":"T2","span":{"begin":238,"end":259},"obj":"Disease"},{"id":"T3","span":{"begin":261,"end":263},"obj":"Disease"},{"id":"T4","span":{"begin":536,"end":543},"obj":"Disease"},{"id":"T5","span":{"begin":613,"end":615},"obj":"Disease"},{"id":"T6","span":{"begin":738,"end":740},"obj":"Disease"},{"id":"T7","span":{"begin":886,"end":888},"obj":"Disease"},{"id":"T8","span":{"begin":980,"end":982},"obj":"Disease"},{"id":"T9","span":{"begin":1001,"end":1003},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"mondo_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A2","pred":"mondo_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A3","pred":"mondo_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0019065"},{"id":"A5","pred":"mondo_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A6","pred":"mondo_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0005068"}],"text":"Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.\nReported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of \u003e97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease."}