{"id":"W2801216478","doi":"10.3791/57357","title":"Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity","year":2018,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; ShanghaiTech University; U.S. Department of Veterans Affairs","keywords":"Phage display; Monoclonal antibody; Oligonucleotide; Immunogenicity; Electroporation; Hybridoma technology; Computational biology; Phagemid; Antibody; Peptide library; Molecular biology; Biology; DNA; Mutagenesis; Antigen; Chemistry; Genetics; Peptide sequence; Bacteriophage; Mutation; Escherichia coli; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001309416,0.0001272437,0.0004110397,0.0001853551,0.000129221,0.00001431103,0.0001479657,0.00005554033,0.001115596],"category_scores_gemma":[0.00002805728,0.0000825828,0.0001370673,0.0001813995,0.000436733,0.0002529293,0.0001569889,0.0001560433,0.00001592959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079915,"about_ca_system_score_gemma":0.0001164581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000246896,"about_ca_topic_score_gemma":2.872648e-7,"domain_scores_codex":[0.9985699,0.00007870163,0.0003809291,0.0001195819,0.0006608181,0.0001900647],"domain_scores_gemma":[0.9990613,0.00004799238,0.0003320485,0.0001280894,0.0002233711,0.0002071829],"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":[0.06247113,0.002424852,0.2813548,0.000349169,0.002134762,0.0008098526,0.005715276,0.000001176258,0.6284322,0.001889133,0.005660524,0.008757127],"study_design_scores_gemma":[0.006322163,0.00507564,0.01719123,0.0004956199,0.0001594243,0.0008752171,0.001059072,0.00009167215,0.9643026,0.0001893514,0.004090074,0.0001479057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960228,0.0004095227,0.0003089813,0.0003011746,0.000179707,0.0001397798,0.000007767503,0.000009879646,0.002620396],"genre_scores_gemma":[0.9936339,0.0001527282,0.005052879,0.0001114142,0.0002431149,0.000001075087,0.000005031643,0.00001510602,0.0007847692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3358704,"threshold_uncertainty_score":0.9997975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234267573541261,"score_gpt":0.4054443786477059,"score_spread":0.3731017029122933,"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."}}