{"id":"W2520306381","doi":"10.1371/journal.pone.0163113","title":"A Rational Engineering Strategy for Designing Protein A-Binding Camelid Single-Domain Antibodies","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Guelph; National Research Council Canada","funders":"National Research Council Canada","keywords":"Single-domain antibody; Mutagenesis; Protein engineering; Computational biology; Biology; Monoclonal antibody; Plasma protein binding; Binding site; Antibody; Cell biology; Biochemistry; Genetics; Mutant; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000418098,0.0006651366,0.0003734335,0.0004610952,0.0002386236,0.0004820819,0.0007008824,0.0005287628,0.0006752289],"category_scores_gemma":[0.0003739664,0.0003608421,0.00055007,0.0003406587,0.0003574551,0.0003439344,0.0003818905,0.0008874827,0.0004489447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005470625,"about_ca_system_score_gemma":0.0003942701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004715329,"about_ca_topic_score_gemma":0.0005885796,"domain_scores_codex":[0.9997367,0.0000535296,0.00003931637,0.00005899959,0.00007066769,0.00004073824],"domain_scores_gemma":[0.9998965,0.00002085027,0.00002929516,0.00001459428,0.00001951244,0.00001917301],"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":[0.00008621536,0.0001178963,0.000299293,0.0001468227,0.00003013144,0.0003370675,0.0000596535,0.003807946,0.9830174,0.002507832,0.0002445975,0.009345088],"study_design_scores_gemma":[0.0001268799,0.001437993,0.000868984,0.00002995444,0.0000905496,0.0006257624,0.00004183385,0.01493163,0.9641586,0.0009551211,0.01669949,0.00003319958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6448096,0.002571115,0.342234,0.0007137128,0.0001991838,0.00094458,0.0007212228,0.0006639659,0.007142699],"genre_scores_gemma":[0.7875181,0.002471428,0.2059264,0.0004495604,0.00003915397,0.0003493775,0.0006969471,0.0000913056,0.002457741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007008824,"threshold_uncertainty_score":0.003969252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130012467040306,"score_gpt":0.290344744554245,"score_spread":0.1773434978502144,"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."}}