{"id":"W3032645934","doi":"10.1039/d0ob01004a","title":"Site-selective modification of proteins using cucurbit[7]uril as supramolecular protection for <i>N</i>-terminal aromatic amino acids","year":2020,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Supramolecular Chemistry and Complexes","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; Novo Nordisk Fonden; National Science Foundation","keywords":"Chemistry; Supramolecular chemistry; Amine gas treating; Phenylalanine; Cucurbituril; Amino acid; Selectivity; Nucleophile; Stereochemistry; Ammonium; Glycine; Combinatorial chemistry; Crystallography; Organic chemistry; Crystal structure; Biochemistry; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001405704,0.0005814912,0.0005810622,0.00003943705,0.0002169012,0.00008940903,0.0005980208,0.0004849877,0.000565181],"category_scores_gemma":[0.0005781705,0.0006775699,0.0004218308,0.0006211555,0.0002095812,0.0001440453,0.0001611148,0.0004059162,0.00002547261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052775,"about_ca_system_score_gemma":0.0003996041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000392231,"about_ca_topic_score_gemma":5.486719e-7,"domain_scores_codex":[0.9969868,0.00004321382,0.0007598657,0.001032187,0.0005862449,0.000591693],"domain_scores_gemma":[0.998034,0.00003812654,0.0005672323,0.0007926114,0.0002503294,0.0003177231],"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":[0.0002526429,0.0002422251,0.00006429126,0.002278926,0.0001956708,0.0000616309,0.0003616727,0.000009903111,0.9962138,0.00001123699,0.0000247207,0.0002832931],"study_design_scores_gemma":[0.001300036,0.0001161152,0.000004794476,0.0001910853,0.0002846374,0.0002768706,0.0002671585,0.007217188,0.9887639,0.0003053139,0.0006081084,0.0006647962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7622496,0.0002679892,0.2351657,0.0001961949,0.00002634662,0.0005981015,0.00008055078,0.0002016735,0.00121381],"genre_scores_gemma":[0.9954169,0.000007167336,0.003325436,0.0001337756,0.0002572949,0.0002317675,0.0003514439,0.0001404459,0.0001358076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2331672,"threshold_uncertainty_score":0.9995676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469037105852622,"score_gpt":0.2494393344284903,"score_spread":0.2247489633699641,"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."}}