{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00189563,0.0006125806,0.0006412908,0.0003224055,0.001103564,0.001405087,0.0009362931,0.01391674,0.002282525],"category_scores_gemma":[0.004354389,0.0003700748,0.0007707414,0.0002799771,0.001750539,0.001253228,0.0007082972,0.01124439,0.00336485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747523,"about_ca_system_score_gemma":0.0008310438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008117955,"about_ca_topic_score_gemma":0.001800918,"domain_scores_codex":[0.998893,0.0002264735,0.00009381957,0.0001266375,0.0005235304,0.0001365091],"domain_scores_gemma":[0.9986141,0.0008191452,0.00009885283,0.00009411739,0.0002265169,0.0001473448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003251845,0.00009853853,0.0004603293,0.0001457995,0.00003202405,0.003733218,0.00006690719,0.0002487775,0.004226611,0.00938625,0.9227754,0.05850093],"study_design_scores_gemma":[0.0005133583,0.0003659761,0.001340415,0.0001248377,0.00004050062,0.005549949,0.0001032193,0.001643881,0.00524741,0.01936059,0.9656616,0.00004823297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004108841,0.01675803,0.001759294,0.9095794,0.05524556,0.00007344777,0.0001093909,0.0002914117,0.0120746],"genre_scores_gemma":[0.05560984,0.0219886,0.002147971,0.7690997,0.1136929,0.0002139758,0.0001147216,0.00009330009,0.03703894],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01391674,"threshold_uncertainty_score":0.01993477,"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."}}