{"id":"W2060278507","doi":"10.1038/cddis.2014.182","title":"Celastrol targets proteostasis and acts synergistically with a heat-shock protein 90 inhibitor to kill human glioblastoma cells","year":2014,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"Natural Compounds in Disease Treatment","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Celastrol; Proteostasis; Auranofin; Programmed cell death; Cancer research; Heat shock protein; Autophagy; Biology; Cell biology; Reactive oxygen species; Hsp90; Apoptosis; Immunology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007843852,0.0003901126,0.0003817716,0.0001612436,0.0002150309,0.00008429147,0.0000808187,0.0000724362,0.00006840519],"category_scores_gemma":[0.0001090293,0.0002812919,0.00007316558,0.0001532227,0.0001135634,0.00008179432,0.000108766,0.0001690093,0.00003139387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008057988,"about_ca_system_score_gemma":0.0001350749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002014061,"about_ca_topic_score_gemma":0.000006955989,"domain_scores_codex":[0.9981545,0.00006839681,0.0002362607,0.000663285,0.0003859577,0.0004916671],"domain_scores_gemma":[0.9963834,0.00004385244,0.00004843354,0.0004476778,0.0001160977,0.002960519],"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":[0.05547911,0.009544307,0.06051675,0.007037655,0.0006366904,0.006856081,0.000843685,0.0001211655,0.8303555,0.003269418,0.01116463,0.01417498],"study_design_scores_gemma":[0.04871965,0.03788742,0.2692538,0.004031741,0.005120799,0.0001786068,0.0002425659,0.002204427,0.5942889,0.003407502,0.03025921,0.004405383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952165,0.0005682627,0.0002238815,0.0006155621,0.00003701051,0.001915336,0.00006822334,0.0001156618,0.001239518],"genre_scores_gemma":[0.9945853,0.000004308426,0.003083305,0.0005815835,0.0001808608,0.0003201743,0.00003640309,0.00005078289,0.00115728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2360666,"threshold_uncertainty_score":0.9999639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006348902493998499,"score_gpt":0.2315689857553268,"score_spread":0.2252200832613283,"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."}}