{"id":"W4401437246","doi":"10.1016/j.jbc.2024.107649","title":"Kinetic and in silico structural characterization of norbelladine O-methyltransferase of Amaryllidaceae alkaloids biosynthesis","year":2024,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université du Québec à Trois-Rivières","keywords":"Amaryllidaceae Alkaloids; In silico; Biosynthesis; O-methyltransferase; Amaryllidaceae; Chemistry; Biochemistry; Characterization (materials science); Computational biology; Methyltransferase; Biology; Stereochemistry; Enzyme; Alkaloid; Botany; Gene; Methylation; Nanotechnology; Materials science","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":[0.0002513667,0.0006250854,0.0006776691,0.0002676948,0.0002112787,0.0005139415,0.0005290133,0.0004171746,0.001619941],"category_scores_gemma":[0.000545754,0.0002508675,0.000776824,0.0004503278,0.0001171455,0.0003685996,0.0002228107,0.000658468,0.000840476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007114927,"about_ca_system_score_gemma":0.0005976708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006656195,"about_ca_topic_score_gemma":0.006504036,"domain_scores_codex":[0.9998423,0.00002015677,0.000009485396,0.00006310359,0.00004113915,0.00002374915],"domain_scores_gemma":[0.9998384,0.00005064387,0.00003547086,0.00001195419,0.00004468138,0.00001878436],"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":[0.00154633,0.0005785472,0.03216218,0.001230565,0.0004165661,0.0004432813,0.0001403013,0.1522605,0.7797268,0.001518475,0.00123531,0.02874113],"study_design_scores_gemma":[0.00008231343,0.001160156,0.01776429,0.00003468932,0.0002156364,0.0003148966,0.0001255501,0.4724644,0.498944,0.0006693053,0.008146826,0.00007796349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717377,0.002762351,0.01714048,0.0001553582,0.00002598465,0.00005490966,0.004689511,0.0003500686,0.003083821],"genre_scores_gemma":[0.9736562,0.001837476,0.01408164,0.00002956845,0.000005554721,0.00005307577,0.008298839,0.00008263886,0.001954899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006656195,"threshold_uncertainty_score":0.01323491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114118964999508,"score_gpt":0.2294989434496873,"score_spread":0.2180870469497365,"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."}}