{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005567518,0.0000842952,0.000377569,0.00019069,0.00005649192,0.00001379812,0.00008870254,0.00007248876,0.000007590942],"category_scores_gemma":[0.0001728314,0.00004880065,0.00009018441,0.000326779,0.0002236703,0.000204153,0.0000269989,0.00007571288,4.720427e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000418046,"about_ca_system_score_gemma":0.00007470795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004588097,"about_ca_topic_score_gemma":0.00008350815,"domain_scores_codex":[0.9986205,0.00003467371,0.00103492,0.0000670529,0.0001615596,0.00008133475],"domain_scores_gemma":[0.9969612,0.001061491,0.001323743,0.00008715915,0.0005410478,0.00002534743],"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":[0.0002462658,0.00004028352,0.00496083,0.00009694498,0.000213157,9.088532e-8,0.001641761,0.9578751,0.02977132,0.002539415,0.000005994122,0.002608784],"study_design_scores_gemma":[0.0006640797,0.0002135905,0.009176607,0.00002662018,0.0004032318,0.000003022723,0.0007115013,0.9574071,0.01321487,0.01809922,0.00002314684,0.0000570216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692287,0.000690917,0.02960238,0.00007101575,0.00006382079,0.0001354836,0.0001953349,0.000001170657,0.00001113575],"genre_scores_gemma":[0.9946226,0.0001132808,0.005164311,0.00002894715,0.0000332318,0.000002916516,0.00003157801,0.000002665001,4.991587e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02539383,"threshold_uncertainty_score":0.1990033,"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."}}