{"id":"W1836167106","doi":"10.1007/978-1-62703-992-5_8","title":"Design and Generation of Synthetic Antibody Libraries for Phage Display","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phage display; Computational biology; Antibody; Synthetic biology; Complementarity determining region; Complementarity (molecular biology); Peptide library; Oligonucleotide; Biology; Computer science; Genetics; Peptide sequence; Monoclonal antibody; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000866655,0.00056313,0.0006361943,0.000590626,0.0003117001,0.0005484607,0.0006437377,0.0003457687,0.001907164],"category_scores_gemma":[0.0006878508,0.0004451312,0.0003647655,0.0005543631,0.0002304964,0.0002927707,0.0004568915,0.000765638,0.001103973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003309371,"about_ca_system_score_gemma":0.00040555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001928017,"about_ca_topic_score_gemma":0.000367517,"domain_scores_codex":[0.9993744,0.0001623946,0.00005870823,0.00008185737,0.0002185398,0.0001041341],"domain_scores_gemma":[0.9997646,0.00004886208,0.00002423217,0.00002757803,0.00007234293,0.00006246469],"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":[0.0001454762,0.00008355501,0.0001255101,0.0002169171,0.00002125033,0.00008922573,0.00005452034,0.001990142,0.9810809,0.001590975,0.0005156362,0.01408582],"study_design_scores_gemma":[0.00007406595,0.0004837811,0.0003090205,0.00001766345,0.00002437175,0.0001682894,0.00001965673,0.006122786,0.9713827,0.000360693,0.02101395,0.00002317026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3967108,0.002826266,0.5813303,0.0003535898,0.0002450161,0.002457824,0.003025948,0.002673789,0.01037659],"genre_scores_gemma":[0.5348592,0.00355014,0.4414658,0.0003902508,0.00007954329,0.002669723,0.006083489,0.0003364468,0.01056546],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001907164,"threshold_uncertainty_score":0.006380141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06873594902610305,"score_gpt":0.4499736395962081,"score_spread":0.381237690570105,"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."}}