{"id":"W2023985368","doi":"10.1186/1745-7580-6-s2-s6","title":"Applying bioinformatics for antibody epitope prediction using affinity-selected mimotopes – relevance for vaccine design","year":2010,"lang":"en","type":"article","venue":"Immunome Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"National Institutes of Health; Canadian Breast Cancer Research Alliance; Ontario Institute for Cancer Research","keywords":"Epitope; Mimotope; Phage display; Polyclonal antibodies; Computational biology; Linear epitope; Epitope mapping; Peptide library; Filamentous bacteriophage; Biology; Antibody; Peptide sequence; Bacteriophage; Biochemistry; 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":[0.003449928,0.0002416771,0.0004701617,0.0006097177,0.0009376493,0.0001466951,0.0003897326,0.0002407731,0.00008699425],"category_scores_gemma":[0.002997397,0.0002011673,0.0001691194,0.000994291,0.0001844692,0.0003021243,0.0001502516,0.001146268,0.00004925441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120253,"about_ca_system_score_gemma":0.0007175871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437777,"about_ca_topic_score_gemma":0.00001244607,"domain_scores_codex":[0.9968314,0.0001356523,0.0006179031,0.0003953927,0.0008552453,0.00116446],"domain_scores_gemma":[0.9945112,0.002434492,0.000106306,0.0005174852,0.002173165,0.0002573161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003713914,0.0002740852,0.001920076,0.0009633531,0.0001611592,0.000007758776,0.0001740743,0.00004051618,0.9533964,0.0003588741,0.002825641,0.03616413],"study_design_scores_gemma":[0.009028723,0.006435242,0.01426281,0.0007098555,0.0001471379,0.000394229,0.0004374639,0.3038245,0.2429323,0.001569611,0.4195062,0.0007518778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083935,0.002180796,0.0719392,0.001752146,0.0007108002,0.0138228,0.0003331031,0.0001925222,0.0006751042],"genre_scores_gemma":[0.5717422,0.002598628,0.4106892,0.0001790714,0.002500962,0.00401745,0.001148154,0.0002352901,0.006889024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7104641,"threshold_uncertainty_score":0.8203366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441707892256436,"score_gpt":0.4457267012646239,"score_spread":0.3015559120389804,"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."}}