{"id":"W2533312204","doi":"10.1039/c6ob01931e","title":"Large-scale synthesis and structural analysis of a synthetic glycopeptide dendrimer as an anti-cancer vaccine candidate","year":2016,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Institut Pasteur","keywords":"Glycopeptide; Chemistry; Epitope; Solid-phase synthesis; Cancer vaccine; Antigen; Combinatorial chemistry; Computational biology; Peptide synthesis; Biochemistry; Stereochemistry; Amino acid; Cancer; Peptide; Immunotherapy; Biology; Immunology; Genetics","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":[0.0001331912,0.0002096435,0.0001043606,0.0001080801,0.000114171,0.0001358115,0.00009930573,0.0001655123,0.0005040067],"category_scores_gemma":[0.0001310537,0.00006032199,0.0001440875,0.000104685,0.0001268342,0.0001276327,0.0001202888,0.0002732148,0.0002467118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288998,"about_ca_system_score_gemma":0.0003351089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003334088,"about_ca_topic_score_gemma":0.0005756066,"domain_scores_codex":[0.999953,0.000009795777,0.000002988791,0.00001011586,0.00001545054,0.000008635111],"domain_scores_gemma":[0.9999526,0.000008465909,0.00001330176,0.000007081226,0.000007384695,0.00001112408],"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":[0.00002580954,0.00001498634,0.00004039454,0.00001494488,0.000001799355,0.00002437637,0.000006873791,0.0002358604,0.9988322,0.00008355764,0.00001242291,0.0007067776],"study_design_scores_gemma":[0.00001219287,0.0002528438,0.0006136945,0.000001874971,0.000007392981,0.0001238844,0.000007537759,0.001012258,0.9966203,0.00007737606,0.001267903,0.000002763153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809553,0.0006601324,0.01583312,0.0001007877,0.00001569581,0.0001487821,0.0003970749,0.00004301949,0.001846161],"genre_scores_gemma":[0.981456,0.0006017997,0.01549565,0.00003340375,0.000005658773,0.00004736615,0.0006916206,0.00002203476,0.001646515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005040067,"threshold_uncertainty_score":0.002096772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004894574189323825,"score_gpt":0.2652535848562425,"score_spread":0.2603590106669187,"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."}}