{"id":"W2115003365","doi":"10.1039/c3mt00276d","title":"Selective anticancer copper(<scp>ii</scp>)-mixed ligand complexes: targeting of ROS and proteasomes","year":2014,"lang":"en","type":"article","venue":"Metallomics","topic":"Metal complexes synthesis and properties","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre","funders":"Kementerian Sains, Teknologi dan Inovasi; National Cancer Institute; Universiti Tunku Abdul Rahman; National Institutes of Health; Royal Society of Chemistry","keywords":"Chemistry; Proteasome; Apoptosis; Ligand (biochemistry); Copper; Ternary complex; MTT assay; Ternary operation; Cell cycle; Cell biology; DNA; DNA damage; Cancer cell; Cell cycle checkpoint; Selectivity; Molecular biology; Cancer research; Receptor; Biochemistry; Cancer; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007090829,0.0002308357,0.0007791558,0.00009954265,0.0001688679,0.00002935608,0.0001114434,0.00008861122,0.00001179422],"category_scores_gemma":[0.001337031,0.0001715597,0.0001265367,0.0001622709,0.0002353762,0.00009347319,0.000123491,0.0001864569,0.00000807894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002601392,"about_ca_system_score_gemma":0.00005873972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004976816,"about_ca_topic_score_gemma":0.000009989042,"domain_scores_codex":[0.998525,0.0001358175,0.0004249947,0.0003282707,0.0002804683,0.000305428],"domain_scores_gemma":[0.9989141,0.0003101688,0.0002001948,0.0002552226,0.0001921097,0.0001282603],"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":[0.00008743687,0.0001189071,0.007200631,0.0004076119,0.0002901017,9.149074e-7,0.0009819559,0.000008840226,0.9859783,0.001708155,0.001029352,0.002187769],"study_design_scores_gemma":[0.0009858808,0.00072978,0.01524651,0.0001651703,0.0002843612,0.00002017814,0.0004055473,0.002315704,0.9549612,0.0008636795,0.02389842,0.0001236118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918417,0.002237996,0.0003415239,0.0001678622,0.0001045504,0.0005671509,0.00001146353,0.00004860781,0.004679137],"genre_scores_gemma":[0.9921103,0.0001815416,0.006347415,0.0002366518,0.0001364893,0.00003200937,0.00001094013,0.00003931947,0.0009053339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03101716,"threshold_uncertainty_score":0.6996002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465769884123482,"score_gpt":0.2489119353523801,"score_spread":0.2242542365111453,"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."}}