{"id":"W2606529647","doi":"10.1038/s41598-017-01230-4","title":"Selective Targeting of Cancer Cells by Oxidative Vulnerabilities with Novel Curcumin Analogs","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Curcumin; Cancer cell; Cancer; Cancer research; Oxidative phosphorylation; In vivo; Triple-negative breast cancer; Apoptosis; Breast cancer; Reactive oxygen species; Pharmacology; Chemistry; Biology; Medicine; Biochemistry; Internal medicine; Biotechnology","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":[0.0005134118,0.0001265069,0.000156756,0.00003663608,0.0004540137,0.0000944013,0.0002430282,0.00008253095,0.00004283313],"category_scores_gemma":[0.0002044531,0.0001016344,0.00005354481,0.0001261227,0.001183309,0.00001103152,0.0001324515,0.00007858197,0.000001327495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002278161,"about_ca_system_score_gemma":0.000231156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004701063,"about_ca_topic_score_gemma":0.0001586087,"domain_scores_codex":[0.9985056,0.0000172204,0.000297789,0.0006712002,0.0002811117,0.000227116],"domain_scores_gemma":[0.9980775,0.00001285226,0.0005551735,0.0008962325,0.0003626086,0.00009569987],"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":[0.00001032328,0.00008772925,0.005304467,0.00001664565,0.00004092089,0.00000206872,0.0001247908,0.00001240662,0.9659935,0.00001611649,0.02801051,0.0003805844],"study_design_scores_gemma":[0.0001235919,0.00004965006,0.001111977,0.00001680061,0.00001672676,0.00000637762,0.000119482,0.00001839844,0.9373906,0.0002255825,0.0607912,0.0001295846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932642,0.0002741047,0.004184918,0.000208704,0.0006125438,0.0002932962,0.0001224101,0.000009527316,0.001030294],"genre_scores_gemma":[0.9950595,0.000006750827,0.0009982755,0.00001749583,0.00007293397,0.00008293584,0.0002106427,0.0000131584,0.003538322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0327807,"threshold_uncertainty_score":0.4359952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627023882805347,"score_gpt":0.2743980915934743,"score_spread":0.2657710677106689,"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."}}