{"id":"W4221061899","doi":"10.3389/fmolb.2022.831758","title":"A Nutrient-Based Cellular Model to Characterize Acetylation-Dependent Protein-Protein Interactions","year":2022,"lang":"en","type":"article","venue":"Frontiers in Molecular Biosciences","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Victoria; Canadian Institutes of Health Research; Genome British Columbia; Université Laval","keywords":"Bromodomain; Acetylation; Chromatin; Histone; Cell biology; Lysine; BRD4; Biochemistry; Biology; Chemistry; Gene expression; Gene; Amino acid","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":[0.0004068309,0.0001941541,0.0001587807,0.0003315104,0.000309565,0.00006983709,0.0005567124,0.00006032661,0.0000447162],"category_scores_gemma":[0.0001123391,0.0002097764,0.0001041745,0.0006003999,0.00009595649,0.00001785322,0.0002737843,0.0001900991,0.000005248336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098847,"about_ca_system_score_gemma":0.0002447166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002643435,"about_ca_topic_score_gemma":0.000008200389,"domain_scores_codex":[0.9980215,0.0001714217,0.000308061,0.0006388116,0.0005056034,0.0003546339],"domain_scores_gemma":[0.9992641,0.000002278037,0.0001275379,0.0004101312,0.00005674386,0.0001392605],"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":[0.00007789899,0.0001351909,0.0003024401,0.000006587563,0.000007502944,0.000006725954,0.00005259958,0.005547638,0.9922746,0.0002451077,0.0008170191,0.000526639],"study_design_scores_gemma":[0.0004598156,0.0002566171,0.00005024782,0.00001763421,0.000004441847,0.000001738328,0.0002531725,0.01354397,0.970086,0.0004419764,0.01458611,0.0002982394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.625477,0.0001258292,0.3717688,0.001113844,0.0004085416,0.0008261545,0.00005038813,0.00001908412,0.0002103399],"genre_scores_gemma":[0.9658788,0.000002239711,0.03078869,0.000904284,0.00004181235,0.0008061997,0.0001325558,0.00002164594,0.001423777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3409801,"threshold_uncertainty_score":0.8554435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078020848994483,"score_gpt":0.2327087858672727,"score_spread":0.2219285773773279,"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."}}