{"id":"W4319321917","doi":"10.3389/fbioe.2023.1112755","title":"Potential of siRNA in COVID-19 therapy: Emphasis on in silico design and nanoparticles based delivery","year":2023,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Shastri Indo-Canadian Institute","keywords":"Small interfering RNA; RNA interference; RNA; Computational biology; Small RNA; Biology; Nanomedicine; Nanotechnology; Genetics; Gene","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":[0.0005482926,0.0005395182,0.0005990618,0.0003777119,0.0001869816,0.000863312,0.0004773588,0.000895616,0.0012905],"category_scores_gemma":[0.0003400327,0.0002862683,0.000618913,0.0002583237,0.0003327178,0.0007556983,0.0004149921,0.001142637,0.0008073339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516786,"about_ca_system_score_gemma":0.0005919314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004082707,"about_ca_topic_score_gemma":0.0005511625,"domain_scores_codex":[0.9997442,0.00006867281,0.00002132182,0.00005818512,0.00008118108,0.00002640014],"domain_scores_gemma":[0.9999013,0.00004274479,0.00001587543,0.000005151708,0.0000268844,0.000008041663],"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":[0.0002204344,0.000210464,0.0004399311,0.008019156,0.0001034408,0.0008945917,0.0002350667,0.01288158,0.677733,0.02296979,0.005179838,0.2711127],"study_design_scores_gemma":[0.000063326,0.002462194,0.0007173019,0.0008317944,0.0002340472,0.00242948,0.0001253038,0.01632833,0.504139,0.006700188,0.4658618,0.0001073503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05948068,0.746505,0.1597833,0.003559357,0.001342019,0.000331966,0.0004112449,0.0005500974,0.02803639],"genre_scores_gemma":[0.2294736,0.6491202,0.1024254,0.00191422,0.0003840897,0.0004293526,0.0006583573,0.0001369549,0.01545781],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0012905,"threshold_uncertainty_score":0.004317164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017985633852313,"score_gpt":0.277736550767623,"score_spread":0.2475566944290999,"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."}}