{"id":"W2889029194","doi":"10.1016/j.bmc.2018.08.036","title":"Genetically-encoded fragment-based discovery of glycopeptide ligands for DC-SIGN","year":2018,"lang":"en","type":"article","venue":"Bioorganic & Medicinal Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Glycomics Centre","keywords":"Glycopeptide; Chemistry; DC-SIGN; Mannose; Oligosaccharide; Biochemistry; Stereochemistry; Combinatorial chemistry; Antigen; Dendritic cell; Biology; Immunology","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":[0.0001613929,0.0003060712,0.0002227995,0.0001679374,0.0001392506,0.0004584588,0.0003182613,0.0003750163,0.0009368566],"category_scores_gemma":[0.0001747328,0.0001380669,0.000214958,0.0002001833,0.0002183062,0.0001910668,0.0003321363,0.0008678632,0.0004111469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404027,"about_ca_system_score_gemma":0.0002890211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006872336,"about_ca_topic_score_gemma":0.001175439,"domain_scores_codex":[0.9999268,0.00001005919,0.000004435757,0.00001149931,0.00002607136,0.00002107127],"domain_scores_gemma":[0.9999368,0.000009252131,0.00001651911,0.000006227329,0.00001047368,0.00002066345],"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":[0.00009508283,0.00002994543,0.0000945937,0.00002033835,0.000005101121,0.0000577515,0.00001051653,0.0003527785,0.996837,0.0003709253,0.00007200634,0.002053926],"study_design_scores_gemma":[0.00002476284,0.0001398593,0.000289501,0.000003989262,0.00001363309,0.0001075186,0.00001328612,0.001664451,0.9951079,0.00004870676,0.002581218,0.000005085293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734018,0.001281159,0.02018245,0.0003421756,0.00005731618,0.0001689072,0.0006692582,0.0001247907,0.003772127],"genre_scores_gemma":[0.9799668,0.001020088,0.0134242,0.0001083663,0.000008623891,0.00004925617,0.0007707035,0.00003432115,0.004617615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009368566,"threshold_uncertainty_score":0.00464648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457138181516653,"score_gpt":0.2821922820558829,"score_spread":0.2676209002407164,"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."}}