{"id":"W4285088017","doi":"10.1021/acs.biochem.2c00188","title":"Insertions and Deletions (Indels): A Missing Piece of the Protein Engineering Jigsaw","year":2022,"lang":"en","type":"review","venue":"Biochemistry","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada","keywords":"Indel; Protein engineering; Leverage (statistics); Computational biology; Computer science; Biology; Genetics; Gene; Artificial intelligence; 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":[0.001740161,0.001181792,0.002001168,0.002121835,0.0004416611,0.001976237,0.001665044,0.002270934,0.002936617],"category_scores_gemma":[0.001903509,0.0006129076,0.0007420208,0.002147562,0.002142109,0.003889629,0.001096242,0.005077286,0.003169772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073278,"about_ca_system_score_gemma":0.001396982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009181778,"about_ca_topic_score_gemma":0.00116387,"domain_scores_codex":[0.9992053,0.0001495025,0.0001028025,0.0001330792,0.0003458096,0.00006352533],"domain_scores_gemma":[0.9984359,0.001043107,0.0001161607,0.0000716553,0.0002474626,0.00008575845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009052472,0.00006047339,0.0001427911,0.01095328,0.00009155198,0.0003052661,0.0001211736,0.0005874714,0.004209092,0.02102204,0.04561725,0.9167991],"study_design_scores_gemma":[0.000007609847,0.00004496025,0.0001384674,0.001176525,0.00003291104,0.0007270798,0.00002978591,0.00005226987,0.0007365984,0.004330326,0.9927068,0.00001653952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009040282,0.9963231,0.0007634488,0.001026913,0.0006587305,0.000005162886,0.00001844313,0.00003058482,0.001083224],"genre_scores_gemma":[0.000794196,0.9956242,0.0009280807,0.001010762,0.0004554158,0.0000100839,0.00004524543,0.00001165215,0.00112043],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002936617,"threshold_uncertainty_score":0.009824038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298703673082662,"score_gpt":0.2604611856355697,"score_spread":0.2374741489047431,"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."}}