{"id":"W3200172782","doi":"10.1016/j.jmb.2021.167241","title":"Systematic Engineering of Optimized Autonomous Heavy-Chain Variable Domains","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children; Vetenskapsrådet; Canada Research Chairs; National Research Council Canada; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Paratope; Computational biology; Epitope; Function (biology); Immunoglobulin light chain; Panning (audio); Phage display; Computer science; Peptide library; Biology; Antibody; Genetics; Peptide sequence; Gene","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":[0.0003356625,0.0004039415,0.0003671474,0.0003389705,0.0001962571,0.0005392637,0.0005967473,0.0002892182,0.0009007363],"category_scores_gemma":[0.000531248,0.0002431338,0.0003108401,0.0004197321,0.0002565085,0.0002010049,0.0005415677,0.0009163774,0.0004031069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467161,"about_ca_system_score_gemma":0.0005237805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007363341,"about_ca_topic_score_gemma":0.00180361,"domain_scores_codex":[0.9997285,0.00005882685,0.00002922144,0.00003588835,0.000084617,0.00006296386],"domain_scores_gemma":[0.9997943,0.00005739933,0.00005942913,0.00002531216,0.00003536047,0.00002808058],"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":[0.0002028745,0.00013288,0.0005273806,0.00009981269,0.00002738913,0.0001877847,0.00005435438,0.003642912,0.9807155,0.001745495,0.00020253,0.01246119],"study_design_scores_gemma":[0.00005115753,0.0002476506,0.000897421,0.00001670159,0.00004170469,0.000252603,0.00006010305,0.009421891,0.9826993,0.0003577567,0.00593539,0.00001835422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495257,0.0003946852,0.04726029,0.00009704561,0.0000536727,0.0001581101,0.0004039615,0.0001980236,0.001908693],"genre_scores_gemma":[0.9619146,0.0003421192,0.03499534,0.00004883362,0.000007559587,0.00006404566,0.0005920734,0.0001322876,0.001903084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009007363,"threshold_uncertainty_score":0.003966689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009760934435467787,"score_gpt":0.2878192715669629,"score_spread":0.2780583371314951,"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."}}