{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006988987,0.0001423384,0.0002487796,0.0001476188,0.00006019677,0.00002577623,0.0002838028,0.0001056787,0.0002904211],"category_scores_gemma":[0.003101327,0.00007744446,0.00005334042,0.001017291,0.0006490219,0.0001875016,0.00007819049,0.0001510953,0.0001718182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914263,"about_ca_system_score_gemma":0.0001524601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006367584,"about_ca_topic_score_gemma":0.00001028421,"domain_scores_codex":[0.9982668,0.00001558671,0.0003102636,0.0005667522,0.0003207983,0.0005198002],"domain_scores_gemma":[0.9990808,0.0002049782,0.00006526676,0.0003015316,0.0001004057,0.0002470275],"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":[0.00005280968,0.00004781543,0.001672914,0.00001569936,0.000001803492,0.00001719761,0.00002175833,2.38374e-8,0.9867731,0.00002839522,0.0004214049,0.01094707],"study_design_scores_gemma":[0.0003609722,0.00002103736,0.006118068,0.0002245872,0.000008510653,0.0000200403,0.000009589925,0.00001312011,0.9910704,0.00007993452,0.001929703,0.0001440493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843534,0.000114692,0.000004873441,0.01419667,0.0001031869,0.000155848,0.00000648651,0.00005936612,0.001005463],"genre_scores_gemma":[0.9982092,0.00007617123,0.0007407756,0.0004475217,0.0001365016,0.000001052151,0.000001392865,0.000009276121,0.000378149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385574,"threshold_uncertainty_score":0.3712802,"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."}}