{"id":"W4415461494","doi":"10.1021/acs.jmedchem.5c01648","title":"Exploring Chemically Modified Short Activating RNAs to Increase Stability against Nucleases and Enhance Gene Activation","year":2025,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclease; Nucleic acid; Argonaute; Gene silencing; RNA; Gene expression; Gene; RNA interference; Small interfering RNA","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":[0.0001659296,0.0003611892,0.0002065741,0.0002120412,0.0001061657,0.0002371912,0.0002143868,0.000288817,0.0008935678],"category_scores_gemma":[0.0002101133,0.0001461779,0.0002391363,0.0001676433,0.0001686785,0.0002332299,0.0001237156,0.0002856045,0.0003155825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001241,"about_ca_system_score_gemma":0.0001614265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001925849,"about_ca_topic_score_gemma":0.0004925848,"domain_scores_codex":[0.9998988,0.00002138675,0.000008181581,0.00002461472,0.00002946025,0.00001750946],"domain_scores_gemma":[0.9998893,0.00003071081,0.00004100567,0.000008185866,0.00001692961,0.00001389845],"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":[0.00003387052,0.0000196788,0.00004839394,0.00005346488,0.000004221291,0.00002905089,0.000008639622,0.00025416,0.9973213,0.0001256272,0.00001370392,0.002087871],"study_design_scores_gemma":[0.000006600768,0.0003049431,0.0002737405,0.000003543394,0.00001285763,0.00008372343,0.000005950713,0.0005485527,0.9974885,0.0000318416,0.001234688,0.00000495923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772279,0.003709368,0.01517709,0.0000912504,0.00003825098,0.00009976503,0.0001557055,0.0001616471,0.00333912],"genre_scores_gemma":[0.9755071,0.002001391,0.01976605,0.00009320112,0.00001522972,0.00005993817,0.0001667983,0.00002680984,0.002363512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008935678,"threshold_uncertainty_score":0.002989292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943643949506078,"score_gpt":0.2832770009688723,"score_spread":0.2438405614738115,"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."}}