{"id":"W1947732437","doi":"10.1002/pro.2799","title":"Selection of recombinant anti‐<scp>SH</scp>3 domain antibodies by high‐throughput phage display","year":2015,"lang":"en","type":"article","venue":"Protein Science","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Phage display; Peptide library; Antigen; Computational biology; Recombinant DNA; Antibody; Monoclonal antibody; Biology; High-throughput screening; Proteome; Immunoprecipitation; Molecular biology; Gene; Genetics; Peptide sequence","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":[0.0007182888,0.0004093881,0.0004583822,0.0003903346,0.0002551353,0.0005780229,0.0004019908,0.0003327321,0.0008470446],"category_scores_gemma":[0.0004163462,0.0002507955,0.0003386115,0.0004411289,0.0001874052,0.0002620209,0.0004956514,0.0006514868,0.0006381807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190922,"about_ca_system_score_gemma":0.0002630291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006560457,"about_ca_topic_score_gemma":0.001385312,"domain_scores_codex":[0.9994849,0.00009933441,0.00003582074,0.000063017,0.000240969,0.00007592737],"domain_scores_gemma":[0.9997746,0.00008142089,0.00003004055,0.00002974779,0.00005237112,0.00003184218],"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":[0.00003061517,0.0000222524,0.0002534719,0.00002075677,0.00000806668,0.00003285976,0.00001375225,0.0001871044,0.9972854,0.00008639233,0.0001112857,0.001948015],"study_design_scores_gemma":[0.00001378473,0.0001360696,0.001705867,0.000002983791,0.00001819297,0.0001578402,0.0000135207,0.004000974,0.9908251,0.00007077211,0.003046534,0.000008304846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418931,0.001076675,0.1523865,0.0001761518,0.0000440461,0.0003949474,0.0009663785,0.0007567281,0.002305461],"genre_scores_gemma":[0.9047928,0.001325892,0.08646621,0.0001572098,0.00002812586,0.0002931131,0.002163145,0.0001552786,0.004618277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008470446,"threshold_uncertainty_score":0.003798783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827770928139051,"score_gpt":0.3224830007877043,"score_spread":0.2942052915063137,"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."}}