{"id":"W1978846091","doi":"10.1016/j.ab.2011.05.005","title":"Mapping protein interactions by combining antibody affinity maturation and mass spectrometry","year":2011,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Wellcome Trust; National Eye Institute; National Institutes of Health; National Institute of General Medical Sciences; Ontario Genomics Institute; Genome Canada","keywords":"Epitope; Immunoprecipitation; Antibody; Phage display; Biology; Computational biology; Linear epitope; Monoclonal antibody; Immunoglobulin light chain; Molecular biology; Chemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001203366,0.0001350053,0.000208257,0.00007052188,0.00009763637,0.00002887165,0.00007029431,0.00009129861,0.0007290739],"category_scores_gemma":[0.0001382702,0.000114038,0.00007253541,0.0002275243,0.0001626192,0.00006259744,0.0000627404,0.0003948189,0.00004848405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000382092,"about_ca_system_score_gemma":0.00004252047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005305436,"about_ca_topic_score_gemma":3.812904e-7,"domain_scores_codex":[0.9990136,0.0000183375,0.0002126065,0.0002729439,0.0002237572,0.0002587432],"domain_scores_gemma":[0.9994313,0.00004921691,0.00004480086,0.0001676707,0.00007136108,0.0002357039],"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":[0.000197305,0.000147751,0.01174914,0.0001572677,0.00009432216,0.00004069891,0.00005554634,7.69247e-9,0.9857515,0.000251215,0.001188572,0.0003667006],"study_design_scores_gemma":[0.0005494922,0.0001720872,0.01628842,0.0002116183,0.00005244475,0.0001501901,0.0003635582,0.001185577,0.9780489,0.0007069051,0.00203149,0.0002393113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638345,0.0002138306,0.000750878,0.001168644,0.00002297945,0.0001256244,0.00001820831,0.000038894,0.03382644],"genre_scores_gemma":[0.9903872,0.0000432286,0.002510455,0.0001349717,0.00009996994,0.000006567832,0.0001338127,0.00001052111,0.006673273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715317,"threshold_uncertainty_score":0.7982849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481642779193234,"score_gpt":0.3204959817440632,"score_spread":0.2856795539521309,"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."}}