{"id":"W4390743751","doi":"10.1158/1535-7163.mct-23-0747","title":"PROTACs: Current and Future Potential as a Precision Medicine Strategy to Combat Cancer","year":2024,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; CancerCare Manitoba","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; CancerCare Manitoba Foundation; Strong; Research Manitoba","keywords":"Cancer; Protein degradation; Proteasome; Ubiquitin; Computational biology; Cancer therapy; Medicine; Bioinformatics; Biology; Cell biology; Genetics","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":[0.0001052047,0.0002136288,0.0001466641,0.00007073546,0.00006734642,0.00007019662,0.0001471382,0.0001297137,0.0001232224],"category_scores_gemma":[0.000005285729,0.0001707061,0.00006018281,0.0001803229,0.00006862921,0.000006648766,0.00008089718,0.0001616347,0.000008808102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003615279,"about_ca_system_score_gemma":0.0001711697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006698259,"about_ca_topic_score_gemma":0.00002746909,"domain_scores_codex":[0.9988173,0.00006052502,0.0001955906,0.0004480579,0.0002530893,0.0002254806],"domain_scores_gemma":[0.9994867,0.000003257679,0.00003630911,0.0002484735,0.00009508267,0.0001301774],"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":[0.00007359158,0.0000191704,0.00002827452,0.00005288872,0.00009387764,0.00000858611,0.0001039278,0.00006671649,0.5759727,0.000391262,0.001822031,0.421367],"study_design_scores_gemma":[0.0003893387,0.0004965309,0.0001516716,0.000164478,0.0000762811,0.00001248644,0.0000608332,0.0003205346,0.2616317,0.0003663669,0.7360879,0.000241899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6215294,0.3504495,0.01061279,0.01244288,0.002853621,0.00140248,0.00007657618,0.0000805218,0.0005521926],"genre_scores_gemma":[0.9726134,0.02148061,0.000143126,0.00274883,0.001951199,0.000347163,0.00007019557,0.00006110653,0.000584392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7342658,"threshold_uncertainty_score":0.6961193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695963416440346,"score_gpt":0.3295766693680235,"score_spread":0.3126170352036201,"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."}}