{"id":"W1628234823","doi":"10.3390/microarrays4030370","title":"SPOTing Acetyl-Lysine Dependent Interactions","year":2015,"lang":"en","type":"article","venue":"Microarrays","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico; Fundação de Amparo à Pesquisa do Estado de São Paulo; European Federation of Pharmaceutical Industries and Associations; Novartis Pharma; Wellcome Trust; Ontario Ministry of Economic Development and Innovation; Genome Canada; Pfizer","keywords":"Bromodomain; Acetylation; Lysine; Computational biology; Histone; Effector; Chromatin; Peptide; Biology; Protein–protein interaction; Chemistry; Cell biology; Biochemistry; Amino acid; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001339179,0.00008827763,0.0000677244,0.00003312276,0.00005304156,0.00002715651,0.0001097918,0.00005409566,0.00005410862],"category_scores_gemma":[0.00009598774,0.00008518256,0.00004802732,0.00005809933,0.00002615154,0.000005084086,0.00007626414,0.0000730039,0.0001299256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002348239,"about_ca_system_score_gemma":0.00005077732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002712703,"about_ca_topic_score_gemma":0.00004865456,"domain_scores_codex":[0.999424,0.00003000643,0.0001323821,0.0001918666,0.00008028816,0.0001414453],"domain_scores_gemma":[0.9995608,0.000002528702,0.0000498582,0.0002117472,0.00008037627,0.00009465592],"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":[0.00002105166,0.00003142562,0.0005305316,0.00000214519,0.00001436141,0.000001351139,0.00006250358,0.00002270892,0.9707511,0.0000291384,0.02653723,0.001996471],"study_design_scores_gemma":[0.0003242622,0.00005842537,0.00006756993,0.000005271259,0.000005076538,0.0000257247,0.0001820397,0.00002520746,0.7162921,0.00002106756,0.2828949,0.00009833536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97754,0.0004688568,0.006992618,0.0006705305,0.0005959207,0.000134861,0.00001047025,0.00003405317,0.01355273],"genre_scores_gemma":[0.9906356,0.00001421868,0.002222564,0.0003808312,0.0004026946,0.000010757,0.0001185846,0.00001467137,0.006200134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563577,"threshold_uncertainty_score":0.3473644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538489417543795,"score_gpt":0.2671947808361665,"score_spread":0.2418098866607286,"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."}}