{"id":"W4383645643","doi":"10.1016/j.bioorg.2023.106721","title":"Small-molecule dual inhibitors targeting heat shock protein 90 for cancer targeted therapy","year":2023,"lang":"en","type":"review","venue":"Bioorganic Chemistry","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Hsp90; Heat shock protein; Chemistry; Drug discovery; Drug; Computational biology; Small molecule; Drug resistance; Cancer therapy; Cancer; Pharmacology; Biochemistry; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006023376,0.0009624871,0.001343073,0.00008596267,0.0002656602,0.0001113454,0.0008521841,0.001605909,0.0002552792],"category_scores_gemma":[0.0006866548,0.0008781173,0.0008495828,0.0005942271,0.0001456909,0.000004713905,0.000591347,0.0006969215,0.00007083209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576582,"about_ca_system_score_gemma":0.002274742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009463907,"about_ca_topic_score_gemma":0.00001814173,"domain_scores_codex":[0.9956607,0.0001506536,0.0009970618,0.001574901,0.0004282988,0.001188392],"domain_scores_gemma":[0.998022,0.00005551104,0.000254994,0.001025025,0.0002798114,0.00036266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004847285,0.00009115385,0.000001628868,0.01264535,0.0005890408,0.00001921377,0.00001302913,5.51192e-7,0.9209863,7.508773e-7,0.008582431,0.05702211],"study_design_scores_gemma":[0.0003410526,0.00007147199,9.796556e-8,0.001357801,0.000064916,0.0000111716,0.000014463,0.000003017528,0.4857866,0.000002163925,0.5118029,0.0005443257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00539562,0.9897565,0.00004442284,0.00009354943,0.0001827068,0.003679958,0.0005615437,0.0001529835,0.000132764],"genre_scores_gemma":[0.0003283994,0.981958,0.0002323359,0.00004005718,0.003185054,0.003941884,0.003379174,0.0005343683,0.006400673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5032204,"threshold_uncertainty_score":0.9996902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06205799110663612,"score_gpt":0.3384659081910501,"score_spread":0.276407917084414,"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."}}