{"id":"W4405525093","doi":"10.1038/s41419-024-07304-2","title":"DARPins as a novel tool to detect and degrade p73","year":2024,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Ontario Genomics Institute; Merck KGaA; Ontario Genomics; Genome Canada; Genentech; Bayer; Universität Zürich; Pfizer; Deutsche Forschungsgemeinschaft; Bristol-Myers Squibb","keywords":"Ankyrin repeat; Ubiquitin ligase; DNA ligase; Biology; Small molecule; Transcription factor; Protein–protein interaction; Plasma protein binding; Cell biology; DNA-binding protein; Signal transducing adaptor protein; Computational biology; Proximity ligation assay; Ubiquitin; Biochemistry; DNA; Signal transduction; Gene; Receptor","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":[0.00004126777,0.0001005512,0.00005560428,0.00003458789,0.00005349569,0.00008065216,0.00004446983,0.0000443535,0.00001757575],"category_scores_gemma":[0.00008414386,0.0000879986,0.00003599452,0.00004770283,0.00002308506,0.000004541057,0.00006835556,0.0000369259,0.00002229697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004731977,"about_ca_system_score_gemma":0.0000982394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009869305,"about_ca_topic_score_gemma":0.000002010591,"domain_scores_codex":[0.9994306,0.000008611118,0.00007965078,0.0002906299,0.00006006595,0.0001304435],"domain_scores_gemma":[0.9994362,0.000004842705,0.000008331973,0.0001421303,0.00001333481,0.0003951872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002052789,0.00005579663,0.001134482,0.0002423118,0.00002713361,0.00005048006,0.00005554517,0.000004022694,0.9390872,0.00143402,0.01564373,0.04206007],"study_design_scores_gemma":[0.0007166913,0.0003183998,0.005107257,0.00006153321,0.00006470652,0.0000179275,0.00003371649,0.0002600427,0.2771155,0.0009560423,0.7149184,0.000429697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835012,0.008978117,0.003849001,0.0003794553,0.000112897,0.00022366,0.00006185414,0.00002876966,0.002865041],"genre_scores_gemma":[0.9938417,0.0002946583,0.0008876997,0.001184918,0.0001458096,0.00002959308,0.00005139654,0.00001351459,0.003550711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6992747,"threshold_uncertainty_score":0.3588479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008301515021582388,"score_gpt":0.2387430720528698,"score_spread":0.2304415570312874,"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."}}