{"id":"W4307391146","doi":"10.1038/s41467-022-33144-9","title":"Computational pharmacogenomic screen identifies drugs that potentiate the anti-breast cancer activity of statins","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; Ontario Institute for Cancer Research; Sunnybrook Health Science Centre; Canada Research Chairs; Princess Margaret Cancer Centre; McMaster University; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; University of Birmingham; Princess Margaret Cancer Foundation; University of Pennsylvania; Canada Research Chairs; U.S. Department of Defense","keywords":"Pharmacogenomics; Mevalonate pathway; Pharmacology; Drug repositioning; Statin; Drug; Medicine; Computational biology; Bioinformatics; Chemistry; Biology; Reductase; Internal medicine; Enzyme; Biochemistry","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":[0.0002319502,0.00009573672,0.0001161552,0.00004136514,0.0005504144,0.00001879585,0.0008912197,0.00005889993,0.00008609956],"category_scores_gemma":[0.000009841334,0.00008461971,0.0001056071,0.0001422971,0.0001770743,0.000007779933,0.0007362777,0.0004247484,0.000001143762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002667293,"about_ca_system_score_gemma":0.0001824117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003465565,"about_ca_topic_score_gemma":0.0002553967,"domain_scores_codex":[0.9991557,0.0002299879,0.0001319846,0.0001631566,0.0001950627,0.0001241289],"domain_scores_gemma":[0.998862,0.0000467705,0.0001679386,0.0007648456,0.0001274846,0.00003096511],"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":[0.0002219109,0.0005301423,0.009496791,0.00002885125,0.0006959856,6.267987e-8,0.001167877,0.01020413,0.7834535,0.00200265,0.1770171,0.01518101],"study_design_scores_gemma":[0.001059811,0.00002597968,0.1690738,0.000009374361,0.0001827596,0.00002371129,0.0008749051,0.001370207,0.01877828,0.0002213416,0.8080886,0.0002912653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567132,0.02680275,0.0003079743,0.007399046,0.003038257,0.0004201368,0.004595801,0.00002122177,0.0007016028],"genre_scores_gemma":[0.9947084,0.003071888,0.0002497358,0.0005391512,0.0005529557,0.0000859253,0.0005116266,0.00001512934,0.0002651931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7646752,"threshold_uncertainty_score":0.4233398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544975778147558,"score_gpt":0.3084187844977698,"score_spread":0.2929690267162942,"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."}}