{"id":"W4362561087","doi":"10.3390/pharmaceutics15041130","title":"Enhancing the Effectiveness of Oligonucleotide Therapeutics Using Cell-Penetrating Peptide Conjugation, Chemical Modification, and Carrier-Based Delivery Strategies","year":2023,"lang":"en","type":"review","venue":"Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Muscular Dystrophy Canada; Canadian Institutes of Health Research; Alberta Innovates; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Oligonucleotide; Nucleic acid; Gene delivery; Computational biology; Genetic enhancement; Peptide; DNA; Cell-penetrating peptide; Drug delivery; RNA; Cell; Chemistry; Nanotechnology; Gene; Biology; Biochemistry; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007585167,0.0003683531,0.0005749111,0.00007441986,0.0001301205,0.00007511602,0.000344232,0.0002589754,0.000002607781],"category_scores_gemma":[0.00005425534,0.0002934792,0.0002205287,0.0001979446,0.0002058576,0.00000965168,0.0001240955,0.0002804756,0.000003254416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003826509,"about_ca_system_score_gemma":0.000613019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002773167,"about_ca_topic_score_gemma":0.000006473776,"domain_scores_codex":[0.9980559,0.0004706463,0.0006079066,0.0004237254,0.000175502,0.0002663534],"domain_scores_gemma":[0.9985009,0.0003940036,0.0004075938,0.0003852941,0.0002486798,0.00006347543],"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":[0.00007521518,0.00005597025,0.00004953524,0.01706395,0.0005257447,0.000003304772,0.00009791394,0.0009214882,0.9597677,0.00005371319,0.00002017551,0.02136529],"study_design_scores_gemma":[0.0005490211,0.0001150014,0.00001631996,0.004451531,0.002002775,0.0000224483,0.0004652658,0.002433628,0.9432012,0.00007263316,0.04594909,0.0007211179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1509747,0.8463926,0.001533118,0.00000489397,0.0001722138,0.000705165,0.0001114567,0.00002236837,0.00008347927],"genre_scores_gemma":[0.2013672,0.7978775,0.0002039017,0.0000585275,0.0001505861,0.00004780461,0.0002116165,0.00006853212,0.00001435885],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05039249,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048472393110809,"score_gpt":0.3896001477782433,"score_spread":0.2847529084671623,"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."}}