{"id":"W2341397174","doi":"10.1039/c6sc00771f","title":"Flavoenzyme CrmK-mediated substrate recycling in caerulomycin biosynthesis","year":2016,"lang":"en","type":"article","venue":"Chemical Science","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; National Natural Science Foundation of China; Administration of Ocean and Fisheries of Guangdong Province; South China Sea Institute of Oceanology, Chinese Academy of Sciences; Western Economic Diversification Canada; Chinese Academy of Sciences; University of Saskatchewan; Canadian Light Source","keywords":"Biosynthesis; Biochemistry; Chemistry; Oxidoreductase; Metabolism; Substrate (aquarium); Secondary metabolism; Active site; Enzyme; Natural product; Stereochemistry; Biology","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":[0.0001788386,0.0001959406,0.000192067,0.00008863117,0.00017192,0.0003664882,0.0002834488,0.0002608772,0.0009081495],"category_scores_gemma":[0.0002230535,0.00007430249,0.0001369082,0.0001068593,0.0002031006,0.0002111909,0.0001452095,0.0003820684,0.0005157671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007247429,"about_ca_system_score_gemma":0.0004060846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164283,"about_ca_topic_score_gemma":0.00141274,"domain_scores_codex":[0.9999381,0.000009067931,0.000005029814,0.0000211061,0.00001369448,0.00001296946],"domain_scores_gemma":[0.9999565,0.000007266256,0.00001124649,0.000005328572,0.0000059336,0.00001370929],"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":[0.0005154063,0.00006761451,0.001988641,0.0002655256,0.00002088937,0.0005853164,0.00006102215,0.00134635,0.9754272,0.002328219,0.0004319816,0.01696193],"study_design_scores_gemma":[0.00006361115,0.0001104287,0.004309508,0.00001859456,0.00001887887,0.001512746,0.00003893481,0.01039849,0.9743043,0.0004484518,0.008757978,0.00001801543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906214,0.00222763,0.003786184,0.0002384263,0.00004371937,0.00003118329,0.0002363093,0.0001987587,0.002616269],"genre_scores_gemma":[0.9939169,0.0006047622,0.003415343,0.00003026428,0.000003393337,0.000005914389,0.0002115651,0.00001200986,0.001799813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164283,"threshold_uncertainty_score":0.005258441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655545872409256,"score_gpt":0.2541262278257714,"score_spread":0.2375707691016788,"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."}}