{"id":"W2151598579","doi":"10.1093/protein/gzq003","title":"Generating a panel of highly specific antibodies to 20 human SH2 domains by phage display","year":2010,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Eye Institute; National Institute of General Medical Sciences; Kungliga Tekniska Högskolan; Wellcome Trust","keywords":"Antibody; Biology; Syk; Phage display; SH2 domain; LYN; Epitope; Computational biology; Proto-oncogene tyrosine-protein kinase Src; Virology; Molecular biology; Tyrosine kinase; Cell biology; Genetics; Phosphorylation; Signal transduction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000244475,0.0001466325,0.0002142638,0.0001415696,0.0001249044,0.00002880365,0.00005029251,0.00007630831,0.0000334413],"category_scores_gemma":[0.00003984591,0.0001249039,0.00003962747,0.0001934457,0.00003331036,0.00005515925,0.0000237772,0.0002898158,0.00000544942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693044,"about_ca_system_score_gemma":0.00002078696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007230194,"about_ca_topic_score_gemma":0.000007348712,"domain_scores_codex":[0.9991043,0.00002261982,0.0001989201,0.0002158959,0.0002101055,0.0002482033],"domain_scores_gemma":[0.9996414,0.00003206728,0.00003228512,0.00007868846,0.00007011803,0.0001454306],"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":[0.0001050518,0.00005479425,0.0004624426,0.0001407734,0.00003064475,0.000005711654,0.0001229536,0.0003319768,0.9958161,0.0006061878,0.0005169417,0.001806443],"study_design_scores_gemma":[0.0005569506,0.0007621642,0.002712319,0.0001086305,0.00001711002,0.0000641046,0.000009292798,0.03313523,0.9522061,0.00002616057,0.0101904,0.0002115634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316801,0.0002636261,0.06706923,0.0002126511,0.00004833389,0.000591603,0.000006417618,0.00005927596,0.00006877485],"genre_scores_gemma":[0.9640409,0.0000372043,0.03418428,0.00002074251,0.0002411892,0.00005634972,0.00001559168,0.00002355191,0.001380232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04361,"threshold_uncertainty_score":0.5093432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082791032007614,"score_gpt":0.2648394664938969,"score_spread":0.2440115561738208,"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."}}