{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002002201,0.0003770402,0.0004098276,0.000163431,0.0001544821,0.0003283087,0.0002145485,0.0003096788,0.0007152734],"category_scores_gemma":[0.0001547384,0.0001405246,0.000299431,0.00021673,0.0001761126,0.0002205065,0.000302213,0.0003502946,0.0002878661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004159446,"about_ca_system_score_gemma":0.0001961589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004026272,"about_ca_topic_score_gemma":0.0005806872,"domain_scores_codex":[0.9997755,0.00003132908,0.00001583622,0.00007477045,0.00005698438,0.00004565612],"domain_scores_gemma":[0.9999408,0.000008619873,0.00002263182,0.00000892131,0.000007237206,0.00001173361],"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":[0.00004950105,0.00001887828,0.0001109512,0.00003726315,0.000006421561,0.00004170522,0.000008843384,0.0002234555,0.9969837,0.0001150573,0.0000278278,0.002376327],"study_design_scores_gemma":[0.000004136507,0.0001414985,0.0003180193,0.000001454015,0.000004660114,0.00009822134,0.000004095816,0.0005756052,0.9979419,0.00001543465,0.0008924296,0.000002596467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667962,0.004324289,0.02612459,0.0001065901,0.00003884788,0.00008741389,0.0002513379,0.0001770092,0.002093773],"genre_scores_gemma":[0.9898281,0.001068453,0.006731815,0.00004432644,0.000004451319,0.00003818154,0.0002319735,0.00001625841,0.002036417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007152734,"threshold_uncertainty_score":0.003017962,"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."}}