{"id":"W2150437095","doi":"10.1002/anie.200906620","title":"Design, Synthesis, and Screening of a Library of Peptidyl Bis(Boroxoles) as Oligosaccharide Receptors in Water: Identification of a Receptor for the Tumor Marker TF‐Antigen Disaccharide","year":2010,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; University of Alberta","keywords":"Disaccharide; Oligosaccharide; Receptor; Chemistry; Molecular recognition; Modular design; Glycomics; Combinatorial chemistry; Glycan; Lectin; Computational biology; Biochemistry; Molecule; Biology; Glycoprotein; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005005558,0.00009672363,0.0001266001,0.0001187577,0.0000356282,0.00001984871,0.0002350063,0.0000929097,0.0002466061],"category_scores_gemma":[0.0005159183,0.00007370639,0.00006889198,0.00007998236,0.0001315117,0.00003798102,0.00008523882,0.00009282901,0.000001271439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006427874,"about_ca_system_score_gemma":0.00005763179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007718511,"about_ca_topic_score_gemma":0.00001941122,"domain_scores_codex":[0.9990279,0.00003297294,0.0003884526,0.0002071436,0.0002248957,0.0001186381],"domain_scores_gemma":[0.9992456,0.0001317336,0.0002072407,0.0001750569,0.0002064034,0.00003392261],"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":[0.0004683502,0.0000605425,0.002905615,0.00004751225,0.00005384484,2.251096e-7,0.00009325603,0.00002157807,0.992899,0.00008533731,0.001000851,0.002363911],"study_design_scores_gemma":[0.0003665584,0.00005334488,0.003859086,0.0000568815,0.00000991104,0.000003777631,0.0001191806,0.000284608,0.9900854,0.0001679035,0.004916308,0.00007703387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861603,0.0001121445,0.01188475,0.0007849064,0.0002913842,0.0004623141,0.0001538385,0.000005698996,0.0001446225],"genre_scores_gemma":[0.9971371,0.0003120325,0.001580687,0.0000313885,0.0002053775,0.0001487035,0.0003740092,0.00001584595,0.0001949098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109767,"threshold_uncertainty_score":0.3005659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352316441054901,"score_gpt":0.2663841449882406,"score_spread":0.2528609805776916,"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."}}