{"id":"W4385442608","doi":"10.1021/acs.jproteome.3c00159","title":"Determination of Protein Monoclonal–Antibody Epitopes by a Combination of Structural Proteomics Methods","year":2023,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Terry Fox Research Institute; Fondation De Famille Alvin Segal; Genome Canada; Warren Y. Soper Charitable Trust; McGill University","keywords":"Epitope; Monoclonal antibody; Proteomics; Epitope mapping; Antigen; Computational biology; Protein–protein interaction; Chemistry; Protein structure; Antibody; Biology; Biochemistry; Immunology","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":[0.001829612,0.000872163,0.0007528017,0.001256561,0.0003455924,0.0005629623,0.0007815384,0.0006499423,0.001075908],"category_scores_gemma":[0.001080569,0.0004576297,0.0006473137,0.0008613716,0.0002851243,0.0004254822,0.0005329273,0.001559863,0.0007964089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005929,"about_ca_system_score_gemma":0.0002098531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003781911,"about_ca_topic_score_gemma":0.0009467108,"domain_scores_codex":[0.9988476,0.0002240217,0.0001239976,0.0002716843,0.0003877875,0.0001448673],"domain_scores_gemma":[0.9990098,0.0003840694,0.00009731705,0.0002083919,0.0002447774,0.00005559265],"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":[0.00003176872,0.00002499117,0.0001274972,0.00004785465,0.00001343905,0.00001802487,0.00001018289,0.00007302622,0.9959691,0.00008994551,0.00004065622,0.003553577],"study_design_scores_gemma":[0.00002244612,0.000278686,0.002391437,0.000007367367,0.00004369258,0.0003461547,0.0000153817,0.002421202,0.9913222,0.0001452432,0.002992156,0.00001408138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6092314,0.004724397,0.3775568,0.0004626544,0.0002104472,0.0007439438,0.001377444,0.0008858127,0.004807089],"genre_scores_gemma":[0.5783701,0.004041206,0.4089501,0.0005537297,0.0001000069,0.0008197201,0.002991943,0.0002748419,0.003898493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001829612,"threshold_uncertainty_score":0.009676039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09749528811829362,"score_gpt":0.5105214867670308,"score_spread":0.4130261986487372,"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."}}