{"id":"W4206562439","doi":"","title":"Precision Targeting of Mutant PI3Kα in Cancer by Selective Degradation","year":2022,"lang":"en","type":"letter","venue":"UCL Discovery (University College London)","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Research UK; Michael Smith Health Research BC; CIHR Skin Research Training Centre; Cancer Research Society","keywords":"Mutant; PI3K/AKT/mTOR pathway; Receptor tyrosine kinase; Protein subunit; P110α; Kinase; Cancer research; Cancer; Tyrosine kinase; Breast cancer; Biology; Chemistry; Cell biology; Biochemistry; Signal transduction; Genetics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002127401,0.0003496961,0.0004513235,0.000279035,0.0001822907,0.00001790375,0.0006172846,0.0005895306,0.0002959625],"category_scores_gemma":[0.00006158311,0.0004345044,0.0002236904,0.0006119286,0.0001121322,0.00004628489,0.0004258897,0.0008705633,0.000002702939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712882,"about_ca_system_score_gemma":0.0006153206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213695,"about_ca_topic_score_gemma":0.0003940176,"domain_scores_codex":[0.9976797,0.0003077846,0.0002907868,0.0008239459,0.0004796707,0.0004181739],"domain_scores_gemma":[0.9989096,0.00008018203,0.0004278206,0.0004022881,0.0001357683,0.00004435942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006492521,0.00008561979,0.00088186,0.0001024878,0.0001732986,0.0001481747,0.0000943058,0.0005392262,0.1185098,0.00001999863,0.8786069,0.0001890983],"study_design_scores_gemma":[0.001638084,0.0005329052,0.0001964457,0.0001355385,0.0001280885,0.000009009719,0.0004811461,0.0002363235,0.05783347,0.00003757626,0.9380392,0.0007322357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467175,0.003905074,0.001701743,0.02497485,0.001436556,0.001431016,0.01808266,0.00004140422,0.001709173],"genre_scores_gemma":[0.8464321,0.003199912,0.000732637,0.04460091,0.001834118,0.00007096535,0.01466533,0.0003001728,0.08816389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1002854,"threshold_uncertainty_score":0.9998107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007375499208824042,"score_gpt":0.216444685965611,"score_spread":0.2090691867567869,"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."}}