{"id":"W2157792089","doi":"10.1093/protein/gzs014","title":"A VL single-domain antibody library shows a high-propensity to yield non-aggregating binders","year":2012,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Guelph; National Research Council Canada; Institute for Biological Sciences; Steacie Institute for Molecular Sciences; University of Ottawa","funders":"","keywords":"Antigen; Phage display; Yield (engineering); Computational biology; Peptide library; Recombinant DNA; Complementarity (molecular biology); Chemistry; Antibody; Combinatorial chemistry; Biology; Genetics; Biochemistry; Materials science; Peptide sequence; 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":[0.000229071,0.000220306,0.0002802454,0.0002578854,0.0001583059,0.000282799,0.0001150505,0.0001875859,0.00117674],"category_scores_gemma":[0.0002895319,0.0001179348,0.000120942,0.0002056718,0.0001319363,0.0001082008,0.0001557859,0.0002244564,0.0003171845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948889,"about_ca_system_score_gemma":0.0001069413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002858113,"about_ca_topic_score_gemma":0.0004013834,"domain_scores_codex":[0.9997967,0.00003913266,0.00001360325,0.0000422247,0.0000539197,0.00005445772],"domain_scores_gemma":[0.9998719,0.0000388179,0.00001775897,0.00001387396,0.00002220444,0.00003549993],"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":[0.00006411605,0.0000262994,0.0005331521,0.0000149176,0.000004305572,0.00003042402,0.00001607409,0.0001343614,0.9961697,0.00004241924,0.00003702195,0.002927094],"study_design_scores_gemma":[0.00001710173,0.0006770287,0.008269104,0.000006031958,0.0000224968,0.0005473822,0.00002669345,0.002230013,0.986367,0.00008294801,0.001747473,0.000006867518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995265,0.0002720624,0.003267016,0.00003270153,0.000002572861,0.0000116465,0.00007661477,0.00009094386,0.0009814615],"genre_scores_gemma":[0.996397,0.0001300745,0.00194288,0.00004687079,0.000004734726,0.00001216741,0.0003116017,0.00001722236,0.001137604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00117674,"threshold_uncertainty_score":0.003936589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387472348733665,"score_gpt":0.2516800868673859,"score_spread":0.2178053633800492,"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."}}