{"id":"W4382247824","doi":"10.1016/j.cell.2023.05.041","title":"Discovery of deaminase functions by structure-based protein clustering","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"Steno Diabetes Center Aarhus; National Key Research and Development Program of China; National Natural Science Foundation of China; Novo Nordisk Fonden; Chinese Academy of Sciences; China Postdoctoral Science Foundation; National Postdoctoral Program for Innovative Talents","keywords":"Biology; Cytosine deaminase; Cytidine deaminase; Computational biology; DNA; Cytosine; Genetics; Protein structure; Cytidine; Substrate specificity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226917,0.0006670528,0.0006582713,0.001553989,0.0004808392,0.0008805757,0.0005125334,0.0005461674,0.0009183166],"category_scores_gemma":[0.0008926968,0.0002888344,0.0007649325,0.001226956,0.0002535578,0.0005045352,0.0003722842,0.0007160631,0.0007086398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008471423,"about_ca_system_score_gemma":0.0006327574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438582,"about_ca_topic_score_gemma":0.002003687,"domain_scores_codex":[0.9997252,0.00003556181,0.00002259895,0.0001249936,0.00006777255,0.00002380589],"domain_scores_gemma":[0.9997098,0.00005972033,0.00006109494,0.00004725474,0.0000864788,0.00003554302],"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":[0.0005074042,0.0001711551,0.0132853,0.0003641638,0.0001354918,0.0002111346,0.0002276854,0.01648826,0.8968269,0.002656616,0.001564674,0.06756131],"study_design_scores_gemma":[0.00006624063,0.0003108317,0.02449497,0.00004806335,0.0001282636,0.0007081122,0.00025183,0.4180364,0.5348271,0.004679173,0.01637077,0.0000783006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7536786,0.001436614,0.2330666,0.0004302322,0.00005343967,0.0003196705,0.003124156,0.003653477,0.004237331],"genre_scores_gemma":[0.6829151,0.0008808899,0.3077773,0.00007884831,0.00001072635,0.0001367428,0.005828794,0.0003627275,0.002008855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001553989,"threshold_uncertainty_score":0.006146491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004559038332760087,"score_gpt":0.2378273530537814,"score_spread":0.2332683147210213,"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."}}