{"id":"W3214558115","doi":"10.1016/j.bmcl.2021.128441","title":"Dual-function antiandrogen/HDACi hybrids based on enzalutamide and entinostat","year":2021,"lang":"en","type":"article","venue":"Bioorganic & Medicinal Chemistry Letters","topic":"Histone Deacetylase Inhibitors Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University Health Centre; Institute for Research in Immunology and Cancer; McGill University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Antiandrogen; Vorinostat; Enzalutamide; Chemistry; Histone deacetylase; Cancer research; Histone deacetylase inhibitor; Androgen receptor; HeLa; Prostate cancer; Biochemistry; Cell; Histone; Androgen; Biology; Cancer; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008281568,0.0003876559,0.0002207989,0.0001869472,0.0001690828,0.0003680493,0.000450198,0.0003715744,0.001606519],"category_scores_gemma":[0.00006270009,0.0001741283,0.0001904313,0.00016671,0.0001668838,0.000246629,0.0002042931,0.0003596636,0.0004967757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486561,"about_ca_system_score_gemma":0.0001199451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005507885,"about_ca_topic_score_gemma":0.001102182,"domain_scores_codex":[0.9999149,0.000007535665,0.00000385391,0.00002324387,0.00002030567,0.0000302529],"domain_scores_gemma":[0.9999765,0.000003243976,0.000006179525,0.000002263602,0.000003536457,0.000008194274],"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":[0.0001135207,0.00001425976,0.00005113976,0.00003240093,0.00001167291,0.00004519097,0.00001175881,0.0001260732,0.9960243,0.0005269678,0.0001378643,0.002904897],"study_design_scores_gemma":[0.00001620955,0.0001182563,0.0002953138,0.000001650015,0.00001671458,0.00007357654,0.00000927452,0.0005176124,0.9948198,0.00004236511,0.004082641,0.000006583114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646609,0.004349854,0.01300944,0.0003353326,0.0002001603,0.00008544554,0.0005985834,0.000489613,0.01627058],"genre_scores_gemma":[0.9874691,0.0008913138,0.005376005,0.0001193135,0.00001355992,0.00004804239,0.0003049035,0.00002750289,0.005750335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001606519,"threshold_uncertainty_score":0.005374372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006017437053869335,"score_gpt":0.2248244756253679,"score_spread":0.2188070385714986,"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."}}