{"id":"W2916691749","doi":"10.3390/molecules24040763","title":"Computer-Aided Discovery of Small Molecules Targeting the RNA Splicing Activity of hnRNP A1 in Castration-Resistant Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Molecules","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Prostate Cancer Canada","keywords":"RNA splicing; Heterogeneous nuclear ribonucleoprotein; Androgen receptor; Alternative splicing; Prostate cancer; Heterogeneous ribonucleoprotein particle; Ribonucleoprotein; Messenger RNA; Cancer research; RNA; RNA-binding protein; Biology; Computational biology; Cell biology; Chemistry; Cancer; Gene; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002748383,0.0001470456,0.0002202696,0.00005805932,0.00004308679,0.00002898281,0.0002312646,0.00006909334,0.000004140247],"category_scores_gemma":[0.00005018481,0.0001114764,0.00009344993,0.000137911,0.00009108153,0.00001097223,0.0001494735,0.0001261457,9.675077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093085,"about_ca_system_score_gemma":0.0001365062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015386,"about_ca_topic_score_gemma":0.0007420816,"domain_scores_codex":[0.9988266,0.0001213239,0.0002868067,0.0002906829,0.0001904305,0.0002841929],"domain_scores_gemma":[0.9993448,0.00003992218,0.0001810872,0.0003054173,0.00009175009,0.00003704688],"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":[0.0002318953,0.00005524281,0.006800101,0.0001158171,0.00004153262,0.000005066132,0.00009907761,0.006484898,0.9841132,0.000115637,0.00003417756,0.001903389],"study_design_scores_gemma":[0.0004818354,0.0002315838,0.02430479,0.0001150867,0.000007610146,0.000001286961,0.0001443402,0.00559244,0.9689229,0.00002499489,0.00004410437,0.0001290264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963741,0.0006562701,0.002206191,0.000154473,0.00004984172,0.0003644557,0.00003595999,0.000003946487,0.0001547912],"genre_scores_gemma":[0.998418,0.0001726534,0.001034142,0.00004314461,0.00004203653,0.00002189867,0.00002362178,0.00001906965,0.0002254899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01750469,"threshold_uncertainty_score":0.4545876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112935266484466,"score_gpt":0.2584213735548289,"score_spread":0.2472920208899843,"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."}}