{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003543399,0.00051256,0.000336436,0.0002446341,0.0002417857,0.000271558,0.0004751225,0.0003979641,0.001000019],"category_scores_gemma":[0.0003210944,0.0002358458,0.0003347053,0.0002688563,0.0002047164,0.0002903058,0.0004666165,0.0006332193,0.0006270602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989803,"about_ca_system_score_gemma":0.0002432169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004324164,"about_ca_topic_score_gemma":0.001117925,"domain_scores_codex":[0.9996893,0.00004059387,0.00002123358,0.00007646922,0.0001273302,0.00004508665],"domain_scores_gemma":[0.999824,0.00003399576,0.00004887328,0.00002742704,0.00004225461,0.00002339431],"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":[0.00001180753,0.000009906281,0.00009878993,0.00004073022,0.000007082929,0.00002561943,0.000009362868,0.00002823992,0.9983261,0.00007402737,0.00004321405,0.001325027],"study_design_scores_gemma":[0.000002719473,0.0000448103,0.0009568493,0.000001701416,0.000006961644,0.0001017522,0.000004564927,0.0003827019,0.9966911,0.00002653305,0.001776247,0.000004041953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.876236,0.003048893,0.1162668,0.000304219,0.000116827,0.0002393829,0.0006762379,0.0005634238,0.002548179],"genre_scores_gemma":[0.9162598,0.003019244,0.07194335,0.0002531435,0.00005645181,0.0001888085,0.001682962,0.00009713229,0.006499132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001000019,"threshold_uncertainty_score":0.00334537,"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."}}