{"id":"W3022103780","doi":"10.1074/jbc.ra119.011809","title":"Structural insights into the putative bacterial acetylcholinesterase ChoE and its substrate inhibition mechanism","year":2020,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Cholinesterase and Neurodegenerative Diseases","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval; PROTEO","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Acetylcholinesterase; Cholinergic; Hydrolase; Substrate (aquarium); Stereochemistry; Catalytic triad; Enzyme; Mutant; Chemistry; Acetylcholine; Active site; Biochemistry; Biology; Gene; Neuroscience","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":[0.00005982945,0.0001554171,0.000282391,0.00001198178,0.00007664537,0.00003608111,0.0000650219,0.00009881465,0.00009558349],"category_scores_gemma":[0.0003171747,0.0000776863,0.0001116028,0.00008909146,0.00007643478,0.0001097257,0.0000350027,0.0003145941,0.000002123272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683994,"about_ca_system_score_gemma":0.00005461467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.981876e-7,"about_ca_topic_score_gemma":1.388128e-7,"domain_scores_codex":[0.9991685,0.0000600542,0.0003452064,0.0001715935,0.0001460473,0.0001085935],"domain_scores_gemma":[0.9991906,0.00007429626,0.0002188041,0.00005674917,0.0002009728,0.0002586029],"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":[0.0008340472,0.00003069033,0.0002760202,0.00004398581,0.00003406869,0.0002092511,0.0006264315,0.000002591257,0.9977448,0.00001773351,0.00003407652,0.0001463348],"study_design_scores_gemma":[0.001498135,0.0002803252,0.004419132,0.00004233036,0.00006174296,0.0003284054,0.0002310493,0.0001013416,0.9925905,0.0002274676,0.0001256743,0.0000939243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962015,0.0007497185,0.0000126471,0.002827363,0.00006269926,0.00009969788,0.00001103783,0.00001080845,0.00002452467],"genre_scores_gemma":[0.9966141,0.0003008246,0.00004470166,0.001753239,0.001232957,0.000002339862,0.00003550545,0.000006876199,0.000009467508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005154297,"threshold_uncertainty_score":0.3167956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04744586923165764,"score_gpt":0.2859915043618557,"score_spread":0.2385456351301981,"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."}}