{"id":"W4366496661","doi":"10.1016/j.jbc.2023.104734","title":"Structural insights into DNA recognition by the BEN domain of the transcription factor BANP","year":2023,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Hubei University; Central China Normal University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Isothermal titration calorimetry; DNA; Chromatin; HMG-box; Transcription factor; Transcription (linguistics); B3 domain; DNA-binding domain; Binding site; Molecular biology; Biology; Chemistry; DNA-binding protein; Biochemistry; Gene","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":[0.00006650335,0.0002435264,0.0001987044,0.0001333368,0.0001746825,0.0001390709,0.0002631161,0.0002451985,0.001395453],"category_scores_gemma":[0.0001128823,0.0001475168,0.0001997002,0.00009840155,0.0001809425,0.0002182341,0.0001489413,0.0005957264,0.0003656179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969452,"about_ca_system_score_gemma":0.000177019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008970281,"about_ca_topic_score_gemma":0.001033333,"domain_scores_codex":[0.9999623,0.000005925203,0.000001514702,0.000008955113,0.00001233658,0.00000900871],"domain_scores_gemma":[0.9999591,0.00001316018,0.000006919009,0.000002584464,0.000005270586,0.00001294753],"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":[0.0001211187,0.0000258565,0.0007458743,0.0000732467,0.000006334257,0.0001747471,0.00003118431,0.000948035,0.9958807,0.0004852833,0.00006294059,0.001444738],"study_design_scores_gemma":[0.00005222593,0.0001843898,0.0180846,0.00002395072,0.00003477995,0.0009365748,0.000238711,0.05773072,0.9144007,0.001538491,0.006742328,0.00003253611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987523,0.001230454,0.00920397,0.0002239396,0.00001753184,0.00001351894,0.0002018604,0.0000914206,0.001494299],"genre_scores_gemma":[0.9935236,0.0005740635,0.00456173,0.0001034493,0.000009295709,0.000009459526,0.0003799886,0.00001481866,0.0008237144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001395453,"threshold_uncertainty_score":0.004668295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608303421188875,"score_gpt":0.2241396709947431,"score_spread":0.2080566367828544,"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."}}