{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001281117,0.0001201413,0.0001768245,0.0001224517,0.000240996,0.00002986711,0.00004001897,0.00005316749,0.0001687471],"category_scores_gemma":[0.00006036321,0.0001201508,0.00009368647,0.0001225723,0.000009598997,0.00004346442,0.00004806161,0.0001269402,0.000004264994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295624,"about_ca_system_score_gemma":0.00008679469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003442065,"about_ca_topic_score_gemma":0.00000390482,"domain_scores_codex":[0.9990909,0.00004573364,0.0001907792,0.0002902458,0.0001868312,0.0001954862],"domain_scores_gemma":[0.999546,0.00002766355,0.00009238153,0.0001984752,0.00004867339,0.0000868225],"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":[0.00130347,0.0004279172,0.01138295,0.0003900327,0.0001186162,0.00004010405,0.0008617701,0.0001081508,0.9680763,0.001105548,0.00088618,0.01529899],"study_design_scores_gemma":[0.0238976,0.00611354,0.09180026,0.0002100395,0.001962746,0.0002239584,0.0005861287,0.02372391,0.8280979,0.004125648,0.01802437,0.001233954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465541,0.0007640271,0.05028125,0.0001314257,0.0001337897,0.001325807,0.00002052976,0.00006746583,0.0007216441],"genre_scores_gemma":[0.99614,0.00004282981,0.001375502,0.0001630188,0.00007007387,0.0004053525,0.000323161,0.0000256288,0.001454402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1399784,"threshold_uncertainty_score":0.4899609,"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."}}