{"id":"W4380225004","doi":"10.1101/pdb.prot108347","title":"Generation and Selection of Synthetic Human Antibody Libraries via Phage Display","year":2023,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; D2L (Canada)","funders":"","keywords":"Phage display; Computational biology; Peptide library; Antibody; Recombinant DNA; Oligonucleotide; Antigen; Selection (genetic algorithm); DNA; Biology; Computer science; Genetics; Gene; Peptide sequence; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002434714,0.0001174302,0.000230719,0.0001601017,0.0001741903,0.00004577605,0.00006823521,0.00006560596,0.00009688076],"category_scores_gemma":[0.00005031737,0.00009982834,0.0000510049,0.000301068,0.000110184,0.0001173729,0.00008315114,0.000145841,0.00002871922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001790074,"about_ca_system_score_gemma":0.00005522035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005195116,"about_ca_topic_score_gemma":0.000004456325,"domain_scores_codex":[0.99898,0.00004596356,0.0002335979,0.0002332474,0.0002766924,0.0002305247],"domain_scores_gemma":[0.9995792,0.00004721175,0.00006502809,0.0001328792,0.00007343842,0.0001022267],"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":[0.00009395585,0.00007050929,0.05008695,0.0005550545,0.00003282445,0.00001772476,0.00003604754,0.000003368586,0.9361338,0.01244786,0.0001685533,0.000353359],"study_design_scores_gemma":[0.0007099219,0.0005235407,0.3008783,0.000329312,0.00002197178,0.000004533212,0.000004195789,0.006981209,0.679227,0.00006798005,0.01112201,0.0001300908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768019,0.00004378275,0.0003233236,0.0003309175,0.00002283909,0.02203147,0.000006561241,0.0001182812,0.0003208852],"genre_scores_gemma":[0.985965,0.00001521864,0.0004243816,0.00003443362,0.0002261072,0.01203449,0.000006647439,0.00002534094,0.001268344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2569068,"threshold_uncertainty_score":0.4070882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811024203136177,"score_gpt":0.3706208545433646,"score_spread":0.3125106125120028,"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."}}