{"id":"W4283069604","doi":"10.1038/s41418-022-01030-y","title":"Designed Ankyrin Repeat Proteins as a tool box for analyzing p63","year":2022,"lang":"en","type":"article","venue":"Cell Death and Differentiation","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genentech; Bundesministerium für Bildung und Forschung; Universität Zürich; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Structural Genomics Consortium; Merck KGaA; Ontario Genomics; Genome Canada; McGill University; Bayer; Pfizer; Deutsche Forschungsgemeinschaft; Bristol-Myers Squibb","keywords":"Ankyrin repeat; Transcription factor; DNA; Biology; DNA-binding protein; DNA-binding domain; Computational biology; Genetics; Gene isoform; Ankyrin; Plasma protein binding; Transcription (linguistics); Cell biology; Structural motif; Binding site; Protein domain; Function (biology); Protein–protein interaction; Binding domain; Biochemistry; 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":[0.000161641,0.000387715,0.0002655332,0.0002282284,0.0001441395,0.0002021021,0.0002217265,0.0002996621,0.000913963],"category_scores_gemma":[0.0002007963,0.000140655,0.0001813406,0.0002065757,0.0001281913,0.0001847101,0.000156946,0.0003782692,0.0003673776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790992,"about_ca_system_score_gemma":0.0000907143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095424,"about_ca_topic_score_gemma":0.0002228605,"domain_scores_codex":[0.9998399,0.00002669077,0.00001475656,0.00004291936,0.00004789969,0.00002777914],"domain_scores_gemma":[0.9998657,0.00003116634,0.00004444715,0.00001448264,0.00001883367,0.00002540469],"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":[0.00001887088,0.000006572337,0.00005551715,0.0000143521,0.000002177231,0.00002888909,0.000006162497,0.00009847751,0.9990258,0.0000336294,0.000006204046,0.0007033851],"study_design_scores_gemma":[0.000005172446,0.0001041677,0.0006011286,0.00000236458,0.000005641437,0.000118809,0.000007678247,0.0006802436,0.9975914,0.00002455324,0.0008562563,0.000002696629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591373,0.0006801031,0.03879475,0.00004084781,0.00001677555,0.00009914943,0.0003275995,0.000194419,0.0007090602],"genre_scores_gemma":[0.9326738,0.0007184548,0.06207601,0.00007097437,0.000008462594,0.00019253,0.0008946236,0.0001003721,0.003264776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000913963,"threshold_uncertainty_score":0.003057539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456231474007698,"score_gpt":0.2391159662408056,"score_spread":0.2245536515007286,"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."}}