{"id":"W3082386636","doi":"10.1111/febs.15536","title":"Targeted modulation of E3 ligases using engineered ubiquitin variants","year":2020,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Guelph","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Institute for Advanced Research","keywords":"Ubiquitin; Ubiquitin ligase; Ubiquitin-Protein Ligases; Drug discovery; Computational biology; Biology; Cell biology; Bioinformatics; 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":[0.00018347,0.0004498696,0.0003247651,0.0001644377,0.00009708281,0.000360452,0.0002776005,0.0002514425,0.0005633361],"category_scores_gemma":[0.0001229419,0.0001092762,0.000337222,0.0002159348,0.0001570045,0.0002276273,0.0001889869,0.0004257046,0.0002531486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966374,"about_ca_system_score_gemma":0.000116529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002078007,"about_ca_topic_score_gemma":0.00034605,"domain_scores_codex":[0.9998662,0.00002123059,0.00002098415,0.00003121308,0.00003054297,0.00002982907],"domain_scores_gemma":[0.9999437,0.00001037301,0.00002007467,0.00000890747,0.000007821563,0.000009088986],"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":[0.000104285,0.00004696163,0.0002106317,0.00008997413,0.00002582467,0.00009955649,0.00000934886,0.0005226629,0.9926867,0.000639494,0.0001126867,0.00545186],"study_design_scores_gemma":[0.000009155834,0.0002874131,0.0003206102,0.000003938307,0.00002518571,0.0002727923,0.000007282853,0.0007187313,0.9921724,0.00006915205,0.006107852,0.00000549812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917556,0.01659536,0.05941198,0.0003483607,0.0002300643,0.0001594817,0.000810926,0.0005173337,0.004370491],"genre_scores_gemma":[0.9689113,0.007179108,0.019506,0.0001270727,0.00002345456,0.00005811092,0.0006433786,0.0000596461,0.003491923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005633361,"threshold_uncertainty_score":0.002152264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135660002227262,"score_gpt":0.2534462248057717,"score_spread":0.2220896247834991,"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."}}