{"id":"W4220869571","doi":"10.3390/biom12040479","title":"Targeted Degradation of 53BP1 Using Ubiquitin Variant Induced Proximity","year":2022,"lang":"en","type":"article","venue":"Biomolecules","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Guelph","funders":"University of Toronto; University of Windsor; Natural Sciences and Engineering Research Council of Canada; Cancer Research UK; Canadian Institute for Advanced Research","keywords":"Ubiquitin; Ubiquitin ligase; Protein degradation; Proteasome; Ubiquitin-Protein Ligases; Computational biology; Cell biology; Endoplasmic-reticulum-associated protein degradation; Fusion protein; Ubiquitin-conjugating enzyme; Biology; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219333,0.0001066277,0.0001038575,0.00007554211,0.0001395098,0.00001113216,0.0001648463,0.0000616922,0.00007141179],"category_scores_gemma":[0.00008266107,0.0001120974,0.00007010599,0.0001968264,0.00004150298,0.000005360364,0.0001893071,0.00006798953,0.000001394603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002904618,"about_ca_system_score_gemma":0.0001310262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091259,"about_ca_topic_score_gemma":0.000008613985,"domain_scores_codex":[0.9990293,0.000157054,0.0002258534,0.0002430908,0.0001951157,0.0001495925],"domain_scores_gemma":[0.9994866,0.000004258236,0.0001570705,0.0002394213,0.00006860678,0.00004407745],"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":[0.00004845965,0.00008495203,0.0001419817,0.000009437654,0.00002164366,0.000003135488,0.00002201995,0.00002343806,0.9975123,0.0007029123,0.0003116982,0.001117991],"study_design_scores_gemma":[0.0003303901,0.000225527,0.0002353028,0.00000450546,0.0000108426,0.00002133406,0.0001342841,0.0003917097,0.9935217,0.00006947459,0.004915187,0.0001397056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924343,0.0002583426,0.006388761,0.0001154756,0.0001706542,0.0002457799,0.00004632848,0.00001568492,0.0003247046],"genre_scores_gemma":[0.9965297,0.000006545656,0.002813049,0.0001362275,0.00006675661,0.0000316503,0.0002420747,0.00001696866,0.0001570552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004603489,"threshold_uncertainty_score":0.4571199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369375166948693,"score_gpt":0.2614960336000001,"score_spread":0.2378022819305132,"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."}}