{"id":"W3019226334","doi":"10.1016/j.jconrel.2020.04.020","title":"Detailed cellular assessment of albumin-bound oligonucleotides: Increased stability and lower non-specific cell uptake","year":2020,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; McGill University; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Oligonucleotide; Albumin; Nucleic acid; Immunogenicity; Biochemistry; Chemistry; Serum albumin; Bovine serum albumin; Plasma protein binding; In vivo; DNA; Cell biology; Biology; Immune system; Immunology","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":[0.0003529135,0.0003617113,0.0002228726,0.0001727858,0.000182323,0.0003307094,0.0001518579,0.0004485381,0.0008840629],"category_scores_gemma":[0.000466741,0.0001329179,0.0001847495,0.0001730712,0.0002821615,0.0002493756,0.0001836973,0.000349551,0.0002333462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752639,"about_ca_system_score_gemma":0.0001804826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008525837,"about_ca_topic_score_gemma":0.001113216,"domain_scores_codex":[0.9997255,0.00005228042,0.00002118683,0.00005984898,0.00007719821,0.00006387487],"domain_scores_gemma":[0.9997014,0.00009138209,0.00005431768,0.00002509923,0.0001062742,0.00002145581],"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":[0.00003046073,0.000004333409,0.00005668898,0.00001805885,0.000001597848,0.00001381117,0.00002588435,0.00002650015,0.9993066,0.00001535532,0.000005519502,0.0004953275],"study_design_scores_gemma":[0.000001373722,0.0001185351,0.0009416991,0.000001648176,0.000008295214,0.00003649731,0.00001855415,0.0002904148,0.9982461,0.00001130152,0.0003224261,0.000003047541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787896,0.0009654572,0.01883309,0.00005742412,0.00002136995,0.00003837669,0.0001589444,0.0001108694,0.001024787],"genre_scores_gemma":[0.9902431,0.0004508584,0.006349645,0.00005580203,0.000006041564,0.00004153765,0.0001883049,0.00004496674,0.002619717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008840629,"threshold_uncertainty_score":0.002957463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250982166051213,"score_gpt":0.281284529115582,"score_spread":0.2587747074550699,"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."}}