{"id":"W2323943326","doi":"10.1021/ac401306b","title":"Lectin Interactions on Surface-Grafted Glycostructures: Influence of the Spatial Distribution of Carbohydrates on the Binding Kinetics and Rupture Forces","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Receptor–ligand kinetics; Glycocalyx; Kinetics; Lectin; Surface plasmon resonance; Biophysics; Force spectroscopy; Glycopolymer; Binding site; Crystallography; Molecule; Nanotechnology; Biochemistry; Polymer; Organic chemistry; Nanoparticle","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":[0.0002821239,0.0003738163,0.0002399032,0.0001670962,0.0001700581,0.0003201899,0.0002756384,0.0002625408,0.0005694629],"category_scores_gemma":[0.000521229,0.0001709509,0.0001670776,0.0001591391,0.0002038168,0.0002888671,0.0002453894,0.0004399205,0.0001504188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905214,"about_ca_system_score_gemma":0.0001849905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614181,"about_ca_topic_score_gemma":0.00210726,"domain_scores_codex":[0.999778,0.00003333096,0.000009712887,0.00004410345,0.00007693913,0.00005793072],"domain_scores_gemma":[0.9997589,0.00009084928,0.00004673497,0.00001756569,0.00004694985,0.00003898676],"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":[0.00001591613,0.000005562911,0.00006151995,0.000007410748,0.000001515597,0.000008720644,0.00001033608,0.00008357304,0.9994175,0.00002517729,0.0000042623,0.0003584132],"study_design_scores_gemma":[0.00000300442,0.00005673734,0.001136301,0.000002250683,0.000005011115,0.00002770761,0.00001722186,0.004594821,0.9939564,0.00002309379,0.0001722415,0.000005201247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964227,0.000207144,0.002872969,0.00001875904,0.00000511438,0.000008331484,0.00003873697,0.00001895472,0.0004071583],"genre_scores_gemma":[0.9955707,0.0002295146,0.003414772,0.00002357761,0.000003042729,0.00001327907,0.00007032813,0.00002062523,0.000654127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614181,"threshold_uncertainty_score":0.003209531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008296674607367101,"score_gpt":0.2551663213996856,"score_spread":0.2468696467923185,"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."}}