{"id":"W2900433554","doi":"10.1021/acs.analchem.8b02796","title":"Affinity Purification of Methyllysine Proteome by Site-Specific Covalent Conjugation","year":2018,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health and Medical Research Fund; Science, Technology and Innovation Commission of Shenzhen Municipality; Chinese University of Hong Kong; Research Grants Council, University Grants Committee; University Grants Committee","keywords":"Chemistry; Proteome; Affinity chromatography; Covalent bond; Biochemistry; Enzyme; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000177556,0.0002126776,0.0002853552,0.0000141805,0.0001177324,0.00003089459,0.0003087407,0.0002520359,0.008510605],"category_scores_gemma":[0.0001996359,0.0002219454,0.0001434593,0.0002970686,0.0004674161,0.00005545614,0.0000660851,0.0002587618,0.0001415967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008681109,"about_ca_system_score_gemma":0.00004876054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001189852,"about_ca_topic_score_gemma":7.112224e-7,"domain_scores_codex":[0.9983392,0.000009415712,0.0005615137,0.0004883174,0.0003362916,0.0002652049],"domain_scores_gemma":[0.9983651,0.0001321927,0.0002619137,0.0007436432,0.0003185032,0.0001786493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000415985,0.0002885658,0.000330071,0.0001991932,0.00003591683,6.692213e-7,0.00003406835,0.000001657609,0.988325,0.0001990096,0.01018499,0.000359237],"study_design_scores_gemma":[0.0003449327,0.000009931736,0.00005303027,0.00003425939,0.00005881778,0.000004966632,0.0000551995,0.0005343672,0.9375772,0.0003121102,0.06080551,0.0002096564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301047,0.0001094731,0.0006750753,0.0006230635,0.00001159784,0.00008413316,0.0002121588,0.00009782768,0.06808194],"genre_scores_gemma":[0.990999,0.00004120685,0.0004235643,0.00003316591,0.0003694916,0.00005528724,0.0007633591,0.00002182019,0.007293079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0608943,"threshold_uncertainty_score":0.9923958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218452687328133,"score_gpt":0.2737278459518172,"score_spread":0.2515433190785359,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}