{"id":"W2553570983","doi":"10.1016/j.jmb.2016.11.016","title":"A Highly Diverse and Functional Naïve Ubiquitin Variant Library for Generation of Intracellular Affinity Reagents","year":2016,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Phage display; Ubiquitin; Mutant; Computational biology; Peptide library; Adapter (computing); Biology; Affinity maturation; Signal transducing adaptor protein; Antigen; Chemistry; Cell biology; Molecular biology; Receptor; Biochemistry; Genetics; Antibody; Peptide sequence; Gene; Computer science","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":[0.0004228542,0.0007061132,0.0005438827,0.0004686914,0.0004391797,0.0005666172,0.0007501877,0.0004549875,0.002370947],"category_scores_gemma":[0.00027029,0.0003473122,0.000336096,0.00042406,0.0002351932,0.0003046174,0.0006574901,0.001181469,0.001559412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444399,"about_ca_system_score_gemma":0.0002808545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003957019,"about_ca_topic_score_gemma":0.001009572,"domain_scores_codex":[0.9995878,0.00005984496,0.00003999099,0.00009244225,0.0001249504,0.00009479804],"domain_scores_gemma":[0.9998327,0.00002256414,0.00001582164,0.00004031468,0.00004751626,0.0000409572],"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":[0.00006011797,0.00003618698,0.00009514479,0.00003399274,0.000008170575,0.00004205954,0.00001895257,0.0001205975,0.9951664,0.000244015,0.0002065581,0.003967723],"study_design_scores_gemma":[0.0000190792,0.0001801567,0.0004868079,0.000005420443,0.00003550004,0.0003228242,0.00001470428,0.001433162,0.9909252,0.00009727388,0.006468502,0.00001122566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7946025,0.001657273,0.1920386,0.0003396947,0.0001531125,0.0005493226,0.002209152,0.001578355,0.006872071],"genre_scores_gemma":[0.9020556,0.001465058,0.07879344,0.0003175874,0.00005464901,0.0004119724,0.006118007,0.0003211687,0.01046252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002370947,"threshold_uncertainty_score":0.00793165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04766221930775305,"score_gpt":0.3037535489402626,"score_spread":0.2560913296325096,"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."}}