{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002669503,0.0005734409,0.000484482,0.0003259103,0.0001794268,0.0003764447,0.0004898632,0.000393368,0.001221602],"category_scores_gemma":[0.0003102554,0.0002934444,0.0002189891,0.0003665847,0.0001981649,0.0002991183,0.000320912,0.0003613657,0.0005913481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003621928,"about_ca_system_score_gemma":0.000322657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00050394,"about_ca_topic_score_gemma":0.0008258515,"domain_scores_codex":[0.9998268,0.00003300753,0.00001094201,0.00003781356,0.00005526925,0.00003605343],"domain_scores_gemma":[0.9998952,0.00002037459,0.00002103631,0.00001002176,0.00001880244,0.00003455624],"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":[0.00007780498,0.00004826536,0.00006632918,0.00003735873,0.000003717795,0.0000302932,0.00001473652,0.000411431,0.9967148,0.00009382521,0.00004985349,0.002451573],"study_design_scores_gemma":[0.00005393851,0.0009491069,0.0004515865,0.000005288917,0.00001824858,0.0001167847,0.0000199399,0.001185694,0.9953204,0.00004501014,0.001822855,0.00001105976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704616,0.0008769517,0.02456119,0.0001750411,0.00002620087,0.0004422262,0.000870404,0.0003141091,0.002272391],"genre_scores_gemma":[0.96163,0.00149949,0.02887244,0.0001000508,0.00001538947,0.0003085802,0.001587582,0.00006521952,0.005921238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221602,"threshold_uncertainty_score":0.004086673,"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."}}