{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006785635,0.0004810523,0.0004268601,0.0003844246,0.0002948185,0.0004610302,0.0004115735,0.0003254796,0.002032709],"category_scores_gemma":[0.0004417076,0.0003452651,0.0002279109,0.0003702452,0.0002015615,0.0001724882,0.0004942644,0.0006665956,0.00116419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309106,"about_ca_system_score_gemma":0.0003369893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002359839,"about_ca_topic_score_gemma":0.0006204525,"domain_scores_codex":[0.9993294,0.0001836315,0.00005493877,0.0001095251,0.0002332017,0.00008924351],"domain_scores_gemma":[0.9998524,0.00003998892,0.00001399634,0.00002080609,0.00003834381,0.00003448513],"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":[0.0001042092,0.00005053623,0.0001227785,0.00006258373,0.000009662565,0.00007446986,0.00004757288,0.0004631525,0.9883614,0.0007919847,0.0006611071,0.009250555],"study_design_scores_gemma":[0.00003977618,0.000200188,0.0003296698,0.000009025008,0.00001203316,0.0002281331,0.00001319279,0.003111068,0.9754813,0.0001680301,0.02039197,0.00001569002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5007396,0.003834909,0.4652229,0.0005258481,0.0002593019,0.002262576,0.003706567,0.00281194,0.02063628],"genre_scores_gemma":[0.7121766,0.004317732,0.2461866,0.0005509714,0.00008929559,0.00208381,0.00721499,0.0004409493,0.02693897],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002032709,"threshold_uncertainty_score":0.006800056,"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."}}