{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001197203,0.0003960149,0.0002036251,0.00008289437,0.0001208613,0.0002031957,0.0002622086,0.000274338,0.0005167299],"category_scores_gemma":[0.0001491175,0.0001179403,0.0001458719,0.00009322884,0.0002407987,0.0001699625,0.0002038149,0.0002877064,0.00022068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965374,"about_ca_system_score_gemma":0.00008392319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004231195,"about_ca_topic_score_gemma":0.0005788322,"domain_scores_codex":[0.9999019,0.00001992364,0.000005466929,0.00002385362,0.00001671829,0.0000321472],"domain_scores_gemma":[0.9999129,0.00001448661,0.00003387453,0.00001002635,0.000009898672,0.00001885267],"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":[0.00002670497,0.000005207642,0.00002997188,0.00002612938,0.00000222325,0.00002180707,0.00001199747,0.00006760957,0.9992888,0.00006391014,0.00001605527,0.0004395327],"study_design_scores_gemma":[0.000001915322,0.00003846994,0.0001902907,0.000001273757,0.000002102282,0.00002741622,0.00000377836,0.0003887136,0.9988884,0.00000611272,0.0004493426,0.0000022313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897733,0.0007364799,0.007234588,0.00006478117,0.00002695911,0.0000320468,0.00007356772,0.0001628632,0.001895424],"genre_scores_gemma":[0.9946537,0.000282542,0.003909946,0.00004620366,0.000006389621,0.00002295779,0.00006286437,0.0000287092,0.0009867807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005167299,"threshold_uncertainty_score":0.001728654,"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."}}