{"id":"W3044710522","doi":"10.1016/j.molcel.2020.07.005","title":"Rationally Designed APOBEC3B Cytosine Base Editors with Improved Specificity","year":2020,"lang":"en","type":"article","venue":"Molecular Cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"National Transgenic Science and Technology Program; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China; United Soybean Board","keywords":"Biology; Cas9; Cytidine deaminase; Computational biology; Genome; genomic DNA; Cytosine; Genetics; Cytidine; DNA; Gene; Biochemistry; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005743967,0.0001819447,0.0001205735,0.00001950077,0.00004359019,0.00002789298,0.000151638,0.00009013985,0.00004113654],"category_scores_gemma":[0.00002923196,0.0001709622,0.00007204286,0.0001045835,0.00003122359,0.000002481972,0.00005864651,0.00008498889,0.00001637022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008036627,"about_ca_system_score_gemma":0.00008133785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005003583,"about_ca_topic_score_gemma":0.000003982581,"domain_scores_codex":[0.9990904,0.00002723606,0.0001470861,0.0003736435,0.0001494363,0.0002121982],"domain_scores_gemma":[0.9994715,0.000005191234,0.00004043868,0.0002456306,0.00007254648,0.0001646564],"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":[0.00009674084,0.00003389642,0.00008623312,0.00001913629,0.00002334575,0.00002276519,0.0000270651,0.003344371,0.9926776,0.00001232702,0.003458096,0.0001983858],"study_design_scores_gemma":[0.0006590285,0.0004112179,0.00008923588,0.000003899672,0.0000214541,0.000003578307,0.00002380149,0.001415859,0.9692583,0.000003433736,0.02787661,0.0002335995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3168049,0.0004833597,0.6791772,0.000982071,0.0002099213,0.0002878348,0.00001648502,0.00003967496,0.0019986],"genre_scores_gemma":[0.9841254,0.00001508442,0.01366463,0.0009193522,0.0009128792,0.00001579684,0.0001349033,0.00004373292,0.0001682455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6673205,"threshold_uncertainty_score":0.6971636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005181607873979125,"score_gpt":0.2164771484335223,"score_spread":0.2112955405595432,"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."}}