{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001018797,0.00006705217,0.0000543425,0.00003482086,0.0003371684,0.00001067014,0.0004976564,0.00006375082,0.00003310892],"category_scores_gemma":[0.00005504432,0.00007717063,0.00004407177,0.0001090185,0.00003120181,0.000001699037,0.0004253609,0.000333523,0.000003630236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002006246,"about_ca_system_score_gemma":0.00005917967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005208734,"about_ca_topic_score_gemma":0.00003788543,"domain_scores_codex":[0.9995134,0.00008362169,0.00008907559,0.0001264921,0.00009857651,0.00008886967],"domain_scores_gemma":[0.9991785,0.00005169586,0.00003169177,0.0006403413,0.00006805626,0.00002966543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007586068,0.0004279337,0.00277144,0.000009405293,0.0002371704,0.000003633995,0.0006527242,0.03735092,0.8768061,0.02157603,0.05409133,0.005997505],"study_design_scores_gemma":[0.0005112818,0.0001696239,0.01653369,0.000002922759,0.00003090699,0.00007726011,0.0006066145,0.002616754,0.04618314,0.0002034084,0.9327447,0.0003197085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6992275,0.1625022,0.07555281,0.01779973,0.001639929,0.001802002,0.0006668468,0.0002917112,0.04051728],"genre_scores_gemma":[0.987161,0.0001240433,0.01120162,0.0005307465,0.00004754281,0.00007604227,0.0005380905,0.0000128555,0.0003080909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8786533,"threshold_uncertainty_score":0.3146927,"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."}}