{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004784181,0.000624417,0.000618842,0.0004589832,0.0002729984,0.0005174162,0.0005694879,0.0004857896,0.002277311],"category_scores_gemma":[0.0003737509,0.0003174455,0.0004616767,0.0003674203,0.0003293159,0.0004581982,0.0004596234,0.0009191472,0.001050996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600114,"about_ca_system_score_gemma":0.0001455125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415793,"about_ca_topic_score_gemma":0.0004547186,"domain_scores_codex":[0.9995447,0.00007119998,0.00002216849,0.000113859,0.0001653922,0.00008271844],"domain_scores_gemma":[0.9996645,0.000145713,0.00007128428,0.00003081053,0.00005228441,0.00003541521],"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":[0.00003456161,0.000008023963,0.00009458963,0.0000924742,0.00001082921,0.00003371852,0.00001643594,0.00005811598,0.9967609,0.0001434505,0.00006090764,0.002686013],"study_design_scores_gemma":[0.00000269947,0.0000864669,0.0009647643,0.00000426226,0.00001209438,0.0001372982,0.00001377674,0.000691229,0.9955878,0.00006802857,0.002425115,0.000006392914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366433,0.01219463,0.239354,0.0003453484,0.0002274686,0.0002207596,0.001078596,0.001159603,0.008776469],"genre_scores_gemma":[0.7873029,0.01392185,0.1816826,0.0005109608,0.000134072,0.0004113516,0.002277003,0.0002207746,0.01353844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277311,"threshold_uncertainty_score":0.007618368,"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."}}