{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001103562,0.0003477795,0.0002864922,0.0001476825,0.0001042308,0.0002575775,0.0002328884,0.0002807996,0.000719353],"category_scores_gemma":[0.0001260793,0.0001156043,0.0001138893,0.0001213535,0.0001434525,0.0001484324,0.0001907581,0.0002409305,0.0001433942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981662,"about_ca_system_score_gemma":0.000140516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003625241,"about_ca_topic_score_gemma":0.0008355292,"domain_scores_codex":[0.9998837,0.00002626143,0.000009486747,0.00002504894,0.00002698768,0.00002857077],"domain_scores_gemma":[0.9999458,0.000006703614,0.00001632158,0.0000040844,0.00001132416,0.0000157843],"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":[0.0001890012,0.00002829588,0.00009961108,0.0001379318,0.00001411246,0.00005693949,0.000009574466,0.0001526382,0.996819,0.000102697,0.0001491646,0.002240891],"study_design_scores_gemma":[0.00003066099,0.0005133999,0.0004730031,0.000005415446,0.00001662995,0.0001735563,0.000008548846,0.0004601767,0.9956036,0.00002447414,0.002686559,0.000004095879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893414,0.004032995,0.004163429,0.000143539,0.00005951457,0.00008384299,0.0001329457,0.0001862879,0.001855998],"genre_scores_gemma":[0.994468,0.0008042014,0.00248199,0.00005106019,0.00002021818,0.00004688877,0.0001315294,0.00001265364,0.001983366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000719353,"threshold_uncertainty_score":0.002406418,"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."}}