{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258823,0.0009893719,0.001459386,0.0009729846,0.0004075415,0.001146947,0.0009767272,0.0008501407,0.001902107],"category_scores_gemma":[0.002797837,0.000484522,0.001358982,0.0008407828,0.000346954,0.0007662446,0.0004941734,0.001202937,0.001142873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006159158,"about_ca_system_score_gemma":0.001112103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020484,"about_ca_topic_score_gemma":0.002671103,"domain_scores_codex":[0.9994761,0.000217245,0.00003642944,0.0001142917,0.0001147067,0.00004119053],"domain_scores_gemma":[0.9989442,0.0006919011,0.00007522483,0.0000808809,0.0001518588,0.00005595867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009582895,0.0006171259,0.01177727,0.001198126,0.0006067586,0.0005387881,0.0001421233,0.6134267,0.09104551,0.01192878,0.007345608,0.2604149],"study_design_scores_gemma":[0.00003312502,0.00008796249,0.0006348508,0.00001492281,0.00003222461,0.0000489304,0.00002122991,0.9863141,0.00584564,0.005144109,0.001811262,0.00001165775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07181501,0.001466882,0.9150162,0.0009426071,0.00009793854,0.0002234514,0.001149587,0.007328391,0.001959827],"genre_scores_gemma":[0.2954822,0.001239863,0.6986991,0.0004353785,0.0000857605,0.0003409183,0.00243841,0.0004400881,0.0008382405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002020484,"threshold_uncertainty_score":0.006657362,"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."}}