{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009756326,0.0003243041,0.0003347828,0.000184784,0.00008847031,0.0002365416,0.0002502397,0.000172878,0.0008817982],"category_scores_gemma":[0.000089849,0.0001226379,0.0001789821,0.0001531896,0.0001165355,0.00009405051,0.000134239,0.0002824086,0.000255843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271321,"about_ca_system_score_gemma":0.0002903675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009038041,"about_ca_topic_score_gemma":0.00177956,"domain_scores_codex":[0.9999598,0.000006216922,0.000002113697,0.000007756633,0.00001676513,0.000007192785],"domain_scores_gemma":[0.9999828,0.000004753234,0.000004982767,0.0000012846,0.000002582426,0.000003450077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000478082,0.0002223414,0.0002863018,0.0003656673,0.00004853093,0.0002511923,0.00002609378,0.01670173,0.9050843,0.002992079,0.0009872175,0.07255644],"study_design_scores_gemma":[0.0006780542,0.002758716,0.001930733,0.0000301209,0.0001359113,0.0006378265,0.00001873178,0.06683547,0.8903193,0.0005632907,0.03604241,0.00004935479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248317,0.01615297,0.04213377,0.000457424,0.0001112259,0.0003231564,0.0007916099,0.001066173,0.01413187],"genre_scores_gemma":[0.9535371,0.0101237,0.02914687,0.000158443,0.00001764192,0.000185789,0.0009004497,0.00003687652,0.005893119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009038041,"threshold_uncertainty_score":0.002949893,"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."}}