{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004612612,0.0008837184,0.0004310879,0.0008000634,0.0003657891,0.000972411,0.0008119738,0.0008846067,0.01519247],"category_scores_gemma":[0.001152993,0.0002847299,0.0004838887,0.0007241098,0.0004856792,0.001145547,0.0008822238,0.001519408,0.001731365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005850669,"about_ca_system_score_gemma":0.0003714919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219065,"about_ca_topic_score_gemma":0.0007412861,"domain_scores_codex":[0.9998249,0.00005374497,0.00001065479,0.00001841928,0.00006795881,0.00002436554],"domain_scores_gemma":[0.999571,0.0003040884,0.00002888929,0.00003133639,0.00004475929,0.00001988905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003504698,0.0002664716,0.001920589,0.000616239,0.00003868734,0.00117816,0.001333715,0.2216957,0.1215625,0.5346573,0.0229097,0.09347059],"study_design_scores_gemma":[0.00005399205,0.0001726887,0.001758983,0.0001147517,0.00001888,0.0005261631,0.0002939342,0.6527498,0.0679236,0.1843402,0.09196329,0.00008371422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0924946,0.002022092,0.7707829,0.00216741,0.0004323207,0.0002021384,0.001155656,0.006542061,0.1242008],"genre_scores_gemma":[0.7060174,0.002443687,0.256424,0.0006909267,0.00007899398,0.0003467981,0.0006933558,0.001092381,0.03221246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01519247,"threshold_uncertainty_score":0.05082393,"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."}}