{"id":"W4396695198","doi":"10.1186/s12967-024-05150-6","title":"Multiomics analysis identifies oxidative phosphorylation as a cancer vulnerability arising from myristoylation inhibition","year":2024,"lang":"en","type":"article","venue":"Journal of Translational Medicine","topic":"Protein Kinase Regulation and GTPase Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Taylor College and Seminary; University of Alberta","funders":"Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Cancer Foundation; Cancer Research Institute","keywords":"Myristoylation; Oxidative phosphorylation; Phosphorylation; Cancer; Vulnerability (computing); Medicine; Coronavirus disease 2019 (COVID-19); Cancer research; Oxidative stress; Bioinformatics; Biology; Cell biology; Internal medicine; Biochemistry; Computer science; Disease; Computer security","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":[0.0005756711,0.0001187367,0.0002127988,0.0002770351,0.00007878978,0.00003283068,0.00005046222,0.0001073931,0.000370139],"category_scores_gemma":[0.0001441231,0.00009950489,0.0001829776,0.0003920522,0.00008264935,0.0000378116,0.000006749259,0.0001522236,0.000002798698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000048927,"about_ca_system_score_gemma":0.0001377855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406478,"about_ca_topic_score_gemma":0.00006428421,"domain_scores_codex":[0.9986648,0.00009364424,0.0005517366,0.0001994533,0.0004046226,0.00008575655],"domain_scores_gemma":[0.999177,0.0000771648,0.0002389108,0.00009268041,0.0003469203,0.00006725685],"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":[0.0002600786,0.00004257917,0.005559904,0.00003601372,0.0009387858,0.00001114876,0.0007555817,0.02497321,0.9551442,0.0002857603,0.0003973834,0.01159542],"study_design_scores_gemma":[0.002957445,0.0004134997,0.1392298,0.001020461,0.003133329,0.00004337144,0.0004302747,0.06073356,0.7596072,0.01976777,0.01215233,0.0005110144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247226,0.00727582,0.1654766,0.001962071,0.0003100515,0.0001005129,0.00005171901,0.000008649801,0.00009200691],"genre_scores_gemma":[0.9966762,0.0002630051,0.001534872,0.00008704072,0.0008883871,0.000004816578,0.0004604013,0.00001102635,0.00007426634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195537,"threshold_uncertainty_score":0.4057692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655048077419012,"score_gpt":0.3151551823425098,"score_spread":0.2986047015683197,"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."}}