{"id":"W4281757975","doi":"10.1038/s41467-022-30598-9","title":"Computationally designed hyperactive Cas9 enzymes","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Australian Research Council; Medical Research Council; Israel Science Foundation; York University","keywords":"CRISPR; Genome editing; Cas9; Computational biology; Gene; Synthetic biology; Biology; Genome engineering; Function (biology); Genome; Genetics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003209228,0.0004192097,0.0004093737,0.000239498,0.0002302144,0.0009559145,0.0007137018,0.000586959,0.00225572],"category_scores_gemma":[0.0005357331,0.000328151,0.0003033445,0.0002271482,0.0004199174,0.0004129561,0.0005227819,0.0008517117,0.0007764206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844669,"about_ca_system_score_gemma":0.0005864892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004337361,"about_ca_topic_score_gemma":0.0008104923,"domain_scores_codex":[0.9998354,0.00002500053,0.00001599951,0.00004292624,0.00005479104,0.00002589543],"domain_scores_gemma":[0.9998661,0.00004153725,0.00002622098,0.00001947458,0.00002507197,0.00002162401],"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":[0.000546299,0.000215655,0.002373353,0.0004380858,0.00008129168,0.000480092,0.0001005063,0.2069896,0.7224581,0.03551796,0.001479774,0.02931921],"study_design_scores_gemma":[0.0001746046,0.0004504604,0.0006721122,0.00002403923,0.0000538754,0.0003033188,0.00006523396,0.3823653,0.5878388,0.005184444,0.02280186,0.00006590693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.815509,0.000755126,0.1637872,0.0003628552,0.0001342805,0.0002065264,0.0007610412,0.001766805,0.01671728],"genre_scores_gemma":[0.8505049,0.0004893495,0.1399179,0.0002146156,0.000008681462,0.0003002847,0.001014366,0.0003424128,0.007207505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00225572,"threshold_uncertainty_score":0.007546067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126298709997324,"score_gpt":0.3313653751702304,"score_spread":0.3201023880702571,"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."}}