{"id":"W69118592","doi":"10.1016/s0076-6879(00)12911-8","title":"Quantitative Analyses of Binding Affinity and Specificity for Glycolipid Receptors by Surface Plasmon Resonance","year":2000,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences","funders":"","keywords":"Biotinylation; Surface plasmon resonance; Glycolipid; Streptavidin; Chemistry; Liposome; Glycoprotein; Vesicle; Biophysics; Avidin; Nanotechnology; Membrane; Biochemistry; Biotin; Materials science; Nanoparticle; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00105126,0.0009762978,0.0007357649,0.0006546354,0.0004621284,0.0005571622,0.0008799328,0.0007805571,0.001858804],"category_scores_gemma":[0.001188949,0.000605636,0.000451735,0.0007604499,0.0006174569,0.000420988,0.0004023536,0.001638112,0.001098231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006383936,"about_ca_system_score_gemma":0.0003090538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319315,"about_ca_topic_score_gemma":0.002679365,"domain_scores_codex":[0.9984175,0.0003315794,0.00008610458,0.0003526188,0.0005119861,0.0003002692],"domain_scores_gemma":[0.9987897,0.0006952479,0.0000717966,0.0001539278,0.0002152595,0.00007404133],"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":[0.00007756047,0.00002728222,0.00008312703,0.00002391959,0.00000587178,0.000003523425,0.00001825348,0.00006971844,0.9987679,0.00005900428,0.00002324707,0.0008407287],"study_design_scores_gemma":[0.000004909005,0.00007205034,0.001752444,0.00000192742,0.00001353169,0.0000227353,0.00001505927,0.001623193,0.9960658,0.00004927376,0.0003733355,0.000005798981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8918377,0.001596826,0.0999978,0.0001746138,0.00005679237,0.0002374874,0.001332863,0.0005059547,0.004260007],"genre_scores_gemma":[0.9311132,0.001409447,0.05588591,0.0002760352,0.00003453579,0.0004938226,0.002998734,0.0002125108,0.007575937],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002319315,"threshold_uncertainty_score":0.006218314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022263570197991,"score_gpt":0.476906350248092,"score_spread":0.374679993228293,"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."}}