{"id":"W2007500418","doi":"10.1021/ed200395n","title":"Illustrating Enzyme Inhibition Using Gibbs Energy Profiles","year":2012,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gibbs free energy; Kinetic energy; Enzyme kinetics; Non-competitive inhibition; Thermodynamics; Chemistry; Enzyme; Physics; Biochemistry; Active site; Classical mechanics","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":[0.0001687685,0.00006838793,0.00007935621,0.00004012943,0.000018859,0.00001034411,0.00003818544,0.0000865854,0.00000925885],"category_scores_gemma":[0.0001193919,0.00006060568,0.00005462967,0.00006498481,0.00001803479,0.00001519233,0.00001181756,0.00007386733,6.109229e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002587232,"about_ca_system_score_gemma":0.0001190222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000709315,"about_ca_topic_score_gemma":8.927286e-8,"domain_scores_codex":[0.9995061,0.0000182964,0.0002165003,0.00006657945,0.00007813908,0.0001143603],"domain_scores_gemma":[0.999541,0.00000170378,0.0001745712,0.00007059863,0.0001405668,0.00007150388],"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":[0.00001369731,0.00009847685,0.0001202648,0.0000122504,0.00001061438,4.589364e-8,0.00003706338,0.00002913949,0.9940901,0.00007221047,0.001523684,0.00399242],"study_design_scores_gemma":[0.00008434909,0.00002545801,0.00006793885,0.00003030971,0.00001881609,0.000190683,0.00005458053,0.00001899944,0.9850564,0.00002296431,0.01435902,0.00007048659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949396,0.00143652,0.002611608,0.00009760955,0.000801323,0.00002258831,8.118548e-7,0.000003022931,0.00008696548],"genre_scores_gemma":[0.9895147,0.00004046076,0.005264495,0.00007361005,0.005007938,0.000001235804,0.00002140244,0.000008909854,0.00006726391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283534,"threshold_uncertainty_score":0.2471428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009652801831956501,"score_gpt":0.2528256519848289,"score_spread":0.2431728501528724,"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."}}