{"id":"W2096487774","doi":"10.1142/s0219720010004872","title":"THE IMPORTANCE OF INHIBITORS FOR THE SIMULATION OF METABOLIC PROCESSES: <i>IN SILICO</i><font>Zn<sup>2+</sup></font> INHIBITION OF m-ACONITASE FROM ANALYSIS OF GLYCOLYSIS AND KREBS CYCLE KINETIC MODELS","year":2010,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Mount Allison University; University of New Brunswick","funders":"","keywords":"Aconitase; Glycolysis; Citric acid cycle; Enzyme; Chemistry; Metabolite; Non-competitive inhibition; Metabolism; Biochemistry; Mixed inhibition; Biophysics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003341435,0.0006566566,0.0007193588,0.0002096619,0.00029746,0.0007737649,0.0008147156,0.001072533,0.002643935],"category_scores_gemma":[0.001452827,0.0003298636,0.00065161,0.0003023386,0.0003027632,0.0005235154,0.0003649373,0.0006914473,0.0004816316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006798513,"about_ca_system_score_gemma":0.0007906122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008106062,"about_ca_topic_score_gemma":0.004185282,"domain_scores_codex":[0.9998668,0.00004928347,0.000009347949,0.0000235636,0.00003130686,0.00001960782],"domain_scores_gemma":[0.999166,0.000621234,0.00007345778,0.00003840847,0.00007993761,0.00002098844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005642065,0.00002601469,0.0006771411,0.00007945645,0.00001558918,0.00004267196,0.00001868008,0.9919204,0.003769244,0.001795791,0.0001435136,0.001455099],"study_design_scores_gemma":[0.000009539836,0.00001700671,0.000157672,0.000004800565,0.000009482393,0.000009924648,0.000006178972,0.9964582,0.002146612,0.0004561297,0.0007200105,0.000004359981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.38958,0.001051436,0.5718821,0.0008957209,0.0002178669,0.0002503258,0.002180782,0.001408182,0.03253357],"genre_scores_gemma":[0.9404472,0.0007539719,0.0517367,0.0001488745,0.0000294551,0.0005151352,0.0008306847,0.0002196407,0.005318362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008106062,"threshold_uncertainty_score":0.01611775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008604154339040906,"score_gpt":0.2469495592870715,"score_spread":0.2383454049480306,"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."}}