{"id":"W2045863186","doi":"10.1210/me.2005-0529","title":"Nuclear Receptor Coregulator (NRC): Mapping of the Dimerization Domain, Activation of p53 and STAT-2, and Identification of the Activation Domain AD2 Necessary for Nuclear Receptor Signaling","year":2007,"lang":"en","type":"article","venue":"Molecular Endocrinology","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; School of Medicine, New York University; York University","keywords":"Nuclear receptor; Nuclear receptor coactivator 1; Nuclear receptor coactivator 3; Nuclear receptor co-repressor 1; Coactivator; Biology; Nuclear localization sequence; Receptor; Nuclear protein; Transcription factor; Nuclear export signal; Cell biology; Nuclear receptor coactivator 2; Biochemistry; Cell nucleus; Gene; Nucleus","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":[0.0001222393,0.0002815762,0.0001375283,0.0002495397,0.0001809751,0.0001653722,0.0001900651,0.0002902297,0.001001016],"category_scores_gemma":[0.0001288038,0.0001216563,0.0001785934,0.0001654504,0.0002274307,0.0001634959,0.0001915069,0.0002750071,0.0005326396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683515,"about_ca_system_score_gemma":0.0002106558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008760514,"about_ca_topic_score_gemma":0.0009014403,"domain_scores_codex":[0.9998746,0.00001961925,0.000008504891,0.00004326111,0.00002714975,0.0000268182],"domain_scores_gemma":[0.9999222,0.000008026124,0.00002394653,0.000009741499,0.000009193594,0.00002687793],"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":[0.00007380934,0.00001011809,0.0003808276,0.00001281573,0.000001472178,0.00005130824,0.00000658239,0.00003216037,0.9986292,0.00007202685,0.00002135079,0.0007083383],"study_design_scores_gemma":[0.00004699968,0.0002289875,0.0370633,0.000007689497,0.00001548367,0.00224839,0.00004393287,0.003352067,0.9509949,0.0001325952,0.005857361,0.000008293358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903423,0.002348423,0.005218732,0.0001188841,0.0000142452,0.00003237564,0.0003841773,0.00005957949,0.001481284],"genre_scores_gemma":[0.9894354,0.000455293,0.006957185,0.00004192906,0.000008240431,0.0000251784,0.001331002,0.0000088628,0.001736959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001016,"threshold_uncertainty_score":0.00339818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005013492368705934,"score_gpt":0.2151503321702372,"score_spread":0.2101368398015313,"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."}}