{"id":"W2280489664","doi":"10.1021/jacs.5b11814","title":"Understanding Programming of Fungal Iterative Polyketide Synthases: The Biochemical Basis for Regioselectivity by the Methyltransferase Domain in the Lovastatin Megasynthase","year":2015,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute of General Medical Sciences","keywords":"Chemistry; Polyketide; Polyketide synthase; Stereochemistry; Regioselectivity; Acyltransferase; Substrate (aquarium); Enzyme; Moiety; Methyltransferase; Biosynthesis; Cofactor; Combinatorial chemistry; Biochemistry; Methylation; Gene; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00285181,0.0002136303,0.0005381574,0.00002252431,0.0001652002,0.00004944712,0.0005730179,0.00007123999,0.000005145949],"category_scores_gemma":[0.00212566,0.00007912292,0.0007317569,0.0007906177,0.001211587,0.00007535876,0.00005964665,0.0008453347,1.412693e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816986,"about_ca_system_score_gemma":0.0002279732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336506,"about_ca_topic_score_gemma":0.000006042173,"domain_scores_codex":[0.9979054,0.0004232032,0.0005431905,0.0002100592,0.0005762856,0.0003419143],"domain_scores_gemma":[0.9964796,0.002244451,0.0006222787,0.0003333351,0.0002153514,0.0001049903],"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":[0.001062565,0.000311268,0.0004195721,0.00004580398,0.0002877498,0.000003194224,0.00459028,0.00000177018,0.9538613,0.00004642244,0.03705249,0.002317604],"study_design_scores_gemma":[0.001104422,0.0004134417,0.0001208099,0.0002217509,0.0003591987,0.0002438151,0.01993552,0.00006318063,0.9746478,0.0004327858,0.002308132,0.0001491666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401808,0.0005515129,0.001975415,0.05652548,0.00005916151,0.0006322741,0.00004675208,0.000005694815,0.00002284999],"genre_scores_gemma":[0.9936747,0.00005086482,0.003670541,0.002304244,0.0002618876,0.00000601746,0.000002022301,0.00001820532,0.00001153913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05422124,"threshold_uncertainty_score":0.4464144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325767633930958,"score_gpt":0.2980436894810587,"score_spread":0.2447860131417492,"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."}}