{"id":"W3163681195","doi":"10.1038/s41587-021-00933-4","title":"In vivo adenine base editing of PCSK9 in macaques reduces LDL cholesterol levels","year":2021,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":377,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"PCSK9; Clearance; In vivo; Point mutation; Biology; Messenger RNA; Lipoprotein; Cholesterol; RNA; LDL receptor; Mutation; Molecular biology; Immunology; Medicine; Gene; Endocrinology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003988606,0.0003102483,0.0003443197,0.0003125711,0.0002449268,0.000386802,0.000226006,0.0004655531,0.001482077],"category_scores_gemma":[0.000369179,0.0001452903,0.0002818314,0.00008097374,0.0003747854,0.0001742053,0.0002582454,0.0007355662,0.0003324845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002778542,"about_ca_system_score_gemma":0.000217673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016517,"about_ca_topic_score_gemma":0.002025735,"domain_scores_codex":[0.9997062,0.00005195,0.00002526365,0.00009526124,0.0000669411,0.0000542993],"domain_scores_gemma":[0.99972,0.00004879518,0.00008665925,0.00005589489,0.00003979411,0.0000487549],"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":[0.0002761866,0.00006358114,0.0002088413,0.00003248901,0.00001140139,0.00005183397,0.0000394947,0.0000415387,0.9968381,0.00009108292,0.00008094186,0.002264511],"study_design_scores_gemma":[0.00004903322,0.001463837,0.002919642,0.00001059842,0.00005209484,0.00040929,0.00005107866,0.0009830499,0.9890864,0.00009354331,0.004869807,0.00001156747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920489,0.001115791,0.004588158,0.0002875534,0.00008947451,0.00006916917,0.0002976131,0.0001966971,0.001306534],"genre_scores_gemma":[0.9875727,0.0009140649,0.004510353,0.0001930113,0.00002920868,0.000100397,0.000434164,0.00007394206,0.006172134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0016517,"threshold_uncertainty_score":0.004958034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005635255797327141,"score_gpt":0.2937176011872165,"score_spread":0.2880823453898894,"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."}}