{"id":"W1975752841","doi":"10.3791/51712","title":"RNA Catalyst as a Reporter for Screening Drugs against RNA Editing in Trypanosomes","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Ribozyme; RNA editing; RNA; Förster resonance energy transfer; Fluorophore; Computational biology; Hammerhead ribozyme; Chemistry; Biophysics; Nanotechnology; Fluorescence; Biochemistry; Cell biology; Biology; Materials science; Gene; Physics","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":[0.0007754343,0.0007551465,0.001108585,0.0009346927,0.0003179665,0.0006931228,0.0007767029,0.00111771,0.001405048],"category_scores_gemma":[0.0005126765,0.0003461978,0.0004936758,0.0007497168,0.0002846064,0.000334937,0.0003135279,0.0009452421,0.0006809238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355692,"about_ca_system_score_gemma":0.0003597859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005363543,"about_ca_topic_score_gemma":0.001254443,"domain_scores_codex":[0.9990138,0.0003296665,0.00007855239,0.0001766253,0.0003096912,0.00009167814],"domain_scores_gemma":[0.999635,0.0001395496,0.00006874932,0.00004620975,0.00006095826,0.00004943928],"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":[0.00006074359,0.00004145167,0.00005888369,0.00004664734,0.000006195917,0.0000269398,0.000008652582,0.00009619069,0.9984182,0.00009005472,0.00004384328,0.001102176],"study_design_scores_gemma":[0.00001966096,0.0004206464,0.0003477627,0.000006517693,0.00001787167,0.00007486271,0.000008273299,0.0007897677,0.997387,0.00001929028,0.0009039667,0.000004528015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8681555,0.01146255,0.1032022,0.0006672824,0.0002542241,0.0009017221,0.003736447,0.001957664,0.009662403],"genre_scores_gemma":[0.8874804,0.005929669,0.08990353,0.0002611792,0.00005860496,0.0006376995,0.00455582,0.0001873333,0.0109857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001405048,"threshold_uncertainty_score":0.004700422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868571409869778,"score_gpt":0.3874344731274112,"score_spread":0.3687487590287134,"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."}}