{"id":"W4387341290","doi":"10.1038/s41467-023-41829-y","title":"PAM-flexible genome editing with an engineered chimeric Cas9","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Vallee Foundation; CHDI Foundation; Howard Hughes Medical Institute; National Heart, Lung, and Blood Institute; Krembil Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Cas9; Genome editing; CRISPR; Computational biology; Genome engineering; Genome; Limiting; Protein engineering; Biology; Translation (biology); Computer science; Genetics; Enzyme; Messenger RNA; Gene; Biochemistry","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":[0.0001851696,0.0002825662,0.0002477343,0.0001225903,0.0001565538,0.0003284455,0.0003803362,0.0003672396,0.0007518582],"category_scores_gemma":[0.0001853906,0.0001438097,0.0002612416,0.0001264683,0.0003482123,0.0002205239,0.0005547101,0.0007216078,0.0003336367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763366,"about_ca_system_score_gemma":0.0002725953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004977016,"about_ca_topic_score_gemma":0.0008871104,"domain_scores_codex":[0.9998221,0.00002068553,0.00001656198,0.00005090059,0.00006068079,0.00002918727],"domain_scores_gemma":[0.9998791,0.00001765852,0.00004124347,0.0000248286,0.00001017089,0.00002695515],"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":[0.00003699535,0.00001176795,0.0001188223,0.00002425113,0.000005531209,0.00006216359,0.00001402661,0.0007038,0.9965236,0.0004563663,0.00004558224,0.001997154],"study_design_scores_gemma":[0.000009454743,0.00009712471,0.0005537723,0.000003891307,0.000006874584,0.0003464951,0.00001292241,0.003574934,0.9909287,0.0001121228,0.004342907,0.00001076985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221423,0.0004286955,0.07227468,0.0001604092,0.00005273484,0.0001041259,0.0003014941,0.0005622717,0.003973209],"genre_scores_gemma":[0.9677329,0.0001919445,0.02859702,0.0000673899,0.000005281658,0.00003696333,0.0002945396,0.00007198331,0.003002021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007518582,"threshold_uncertainty_score":0.002730548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240189912377971,"score_gpt":0.3216540519830536,"score_spread":0.3092521528592739,"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."}}