{"id":"W2970473523","doi":"10.1039/c9ra03668g","title":"Model Affitin and PEG modifications onto siRNA lipid nanocapsules: cell uptake and <i>in vivo</i> biodistribution improvements","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Ligue Contre le Cancer; Science Foundation Ireland; Universite Angers; Centre National de la Recherche Scientifique; Canadian Institute for Theoretical Astrophysics","keywords":"PEGylation; Biodistribution; Nanocarriers; Nanocapsules; In vivo; PEG ratio; Small interfering RNA; Chemistry; Biophysics; Confocal microscopy; Internalization; Polyethylene glycol; Förster resonance energy transfer; Flow cytometry; Melanoma; Nanomedicine; Cancer research; Cell; In vitro; Drug delivery; Transfection; Molecular biology; Materials science; Nanotechnology; Cell biology; Nanoparticle; Biochemistry; Medicine; Fluorescence; Biology","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":[0.0002045978,0.0004546111,0.0001934028,0.0001729593,0.0001198492,0.0002102663,0.0001870722,0.0003378211,0.0007020346],"category_scores_gemma":[0.000194366,0.0001223406,0.0001809246,0.000128613,0.0001943569,0.0002060275,0.0001416794,0.0002874416,0.0002727203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004310415,"about_ca_system_score_gemma":0.0002193481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001152011,"about_ca_topic_score_gemma":0.001528696,"domain_scores_codex":[0.9998841,0.0000159826,0.00001116034,0.0000353231,0.00002895544,0.00002439749],"domain_scores_gemma":[0.9999198,0.00001704573,0.00002218853,0.00001054053,0.000019289,0.0000112041],"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":[0.00004791589,0.00001278048,0.00004978265,0.00002242128,0.000001978372,0.00001943145,0.00001044123,0.00009173169,0.9991533,0.00004452417,0.00001545577,0.0005303519],"study_design_scores_gemma":[0.00000157006,0.00004595674,0.0001798099,6.697304e-7,0.000003418061,0.00001976171,0.000002180117,0.0002806151,0.9992452,0.000005067717,0.0002147366,0.000001118128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876524,0.0006340702,0.009863618,0.00004718658,0.00002000881,0.00006379547,0.0002152406,0.0001122941,0.001391276],"genre_scores_gemma":[0.9858654,0.0006649698,0.009998825,0.00004173424,0.000005868492,0.00008167094,0.0002690723,0.00004483674,0.003027667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152011,"threshold_uncertainty_score":0.003127456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983254746915099,"score_gpt":0.2376475739942227,"score_spread":0.2278150265250717,"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."}}