{"id":"W3032431568","doi":"10.1038/s41598-020-65450-x","title":"Nanoparticle delivery of a pH-sensitive prodrug of doxorubicin and a mitochondrial targeting VES-H8R8 synergistically kill multi-drug resistant breast cancer cells","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Efflux; Prodrug; Cancer cell; Doxorubicin; Chemistry; Pharmacology; Mitochondrion; Apoptosis; Drug delivery; Cytotoxicity; Multiple drug resistance; In vitro; Biochemistry; Cancer; Biology; Chemotherapy; Antibiotics","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":[0.001185096,0.000265456,0.0005614121,0.0001139236,0.0002475832,0.0001476906,0.0002125737,0.00006574128,0.0001540103],"category_scores_gemma":[0.0004865526,0.0002352817,0.0001177164,0.0006718982,0.001007521,0.0003508647,0.0002788996,0.000124969,0.00002037494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007337381,"about_ca_system_score_gemma":0.0004364692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006560388,"about_ca_topic_score_gemma":0.00007818717,"domain_scores_codex":[0.9958128,0.0002400315,0.001270834,0.00119982,0.0009055495,0.0005710121],"domain_scores_gemma":[0.9972696,0.0001478937,0.0008343296,0.000599177,0.0007776497,0.0003713429],"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":[0.000639545,0.000224315,0.000440732,0.0002200427,0.00001959052,0.0004427465,0.002349062,0.0007175949,0.9930701,0.00001754094,0.001788259,0.00007052604],"study_design_scores_gemma":[0.000693333,0.00005738832,0.0007877111,0.0001800566,0.00008359696,0.00004017918,0.0005243337,0.00215766,0.9950858,0.00004454717,0.00008880268,0.0002566372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957404,0.0002490561,0.00005064398,0.0004252573,0.002683162,0.0005989681,0.000159241,0.0000753608,0.00001788085],"genre_scores_gemma":[0.995964,0.000007332987,0.00365224,0.00005126703,0.0001101011,0.00002339533,0.000007477764,0.00003035839,0.0001538249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003601596,"threshold_uncertainty_score":0.959451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085845213989219,"score_gpt":0.2250300900767389,"score_spread":0.2141716379368467,"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."}}