{"id":"W2509293655","doi":"10.1002/anie.201606006","title":"Total Biosynthesis of Legionaminic Acid, a Bacterial Sialic Acid Analogue","year":2016,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Joint Attosecond Science Laboratory; University of Ottawa","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Campylobacter jejuni; Glycobiology; Microbiology; Legionella pneumophila; Biology; Sialic acid; Biochemistry; Biosynthesis; Bacteria; Escherichia coli; Neuraminic acid; Virulence; Glycoconjugate; Bacterial cell structure; Glycan; Chemistry; Gene; Glycoprotein; Genetics","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":[0.0001446829,0.0005840498,0.000245509,0.0001930342,0.0001553006,0.0004677889,0.0002160881,0.0002888779,0.0007107168],"category_scores_gemma":[0.0001196185,0.0001438114,0.0002359762,0.0003800213,0.0001724789,0.0003794643,0.0004217259,0.0003626512,0.0005802567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005733512,"about_ca_system_score_gemma":0.0004517917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009809022,"about_ca_topic_score_gemma":0.001656774,"domain_scores_codex":[0.9998748,0.00001809609,0.000008474322,0.00003225273,0.0000396805,0.00002663365],"domain_scores_gemma":[0.9999402,0.000003830794,0.00001136487,0.00001255739,0.00001453727,0.0000175271],"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":[0.00006817138,0.00001390557,0.0002431663,0.0001096338,0.00001481431,0.00006116883,0.00001753055,0.0002439542,0.9901584,0.0006127291,0.000126383,0.008330075],"study_design_scores_gemma":[0.000005097128,0.0001113215,0.0007071892,0.00001083844,0.00001652769,0.0001411947,0.00001374008,0.000506967,0.9803152,0.0001412375,0.01802306,0.00000771062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153175,0.01252341,0.04992631,0.0003019667,0.0001880453,0.0001244841,0.002549742,0.0005900745,0.01847866],"genre_scores_gemma":[0.9467119,0.006430703,0.0302125,0.0000846388,0.00001194404,0.00006246507,0.002860031,0.00008800757,0.01353787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009809022,"threshold_uncertainty_score":0.004159987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150460559289989,"score_gpt":0.2636011764543919,"score_spread":0.248555120525393,"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."}}