{"id":"W4213308630","doi":"10.1007/978-1-0716-2075-5_12","title":"Facile Affinity Maturation of Single-Domain Antibodies Using Next-Generation DNA Sequencing","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Natural Sciences and Engineering Research Council of Canada; National Research Council Canada","funders":"","keywords":"Single-domain antibody; Phage display; Panning (audio); Complementarity determining region; Computational biology; Mutagenesis; Phagemid; Biology; DNA sequencing; Complementarity (molecular biology); DNA; Molecular biology; Affinity maturation; Bacteriophage; Genetics; Antibody; Gene; Peptide sequence; Mutation; Escherichia coli","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":[0.0007145767,0.0004018356,0.0003766461,0.0002962642,0.000354506,0.0005985892,0.0005331442,0.0005014063,0.00188224],"category_scores_gemma":[0.0009068612,0.0003581927,0.0003228668,0.0002571768,0.0002346427,0.0004541674,0.0005320071,0.001306823,0.001449436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734777,"about_ca_system_score_gemma":0.000660002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007369905,"about_ca_topic_score_gemma":0.002442705,"domain_scores_codex":[0.9995378,0.00007582097,0.00002731841,0.00009823694,0.0001933291,0.00006748758],"domain_scores_gemma":[0.9995744,0.0001293597,0.00004819558,0.00006083835,0.000137945,0.00004929853],"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":[0.00002607151,0.00001760732,0.0001214971,0.00004815996,0.000006850784,0.00002073372,0.00002548788,0.0002395773,0.9905816,0.0005617295,0.0003104103,0.00804021],"study_design_scores_gemma":[0.000009035181,0.0000489136,0.0004637957,0.000005813308,0.000007101046,0.0000969836,0.0000186247,0.006208797,0.9850112,0.0003567165,0.007762603,0.00001044688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3581732,0.001897397,0.6287184,0.0006646825,0.0002548785,0.0004497935,0.001273452,0.001969537,0.006598708],"genre_scores_gemma":[0.4843387,0.001805033,0.4990117,0.0005839193,0.00004454257,0.0004126537,0.002982804,0.000409644,0.01041116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00188224,"threshold_uncertainty_score":0.006296694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895579482421038,"score_gpt":0.4407828496754445,"score_spread":0.2512249014333407,"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."}}