{"id":"W3043325843","doi":"10.1021/acs.biochem.0c00308","title":"Epitope Mapping for a Preclinical Bevacizumab (Avastin) Biosimilar on an Extended Construct of Vascular Endothelial Growth Factor A Using Millisecond Hydrogen–Deuterium Exchange Mass Spectrometry","year":2020,"lang":"en","type":"article","venue":"Biochemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex (Canada); York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epitope; Biosimilar; Hydrogen–deuterium exchange; Chemistry; Bevacizumab; Monoclonal antibody; Epitope mapping; Vascular endothelial growth factor; Polyclonal antibodies; Mass spectrometry; Pharmacology; Cancer research; Chromatography; Medicine; Antibody; VEGF receptors; Internal medicine; Immunology; Chemotherapy","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":[0.0002716289,0.0001467128,0.0001113044,0.0001510709,0.0001370899,0.000196089,0.0001491099,0.0002440375,0.0007122423],"category_scores_gemma":[0.0002407427,0.00008704793,0.0001195199,0.0001426417,0.000145144,0.0002214647,0.0001566279,0.0004377173,0.0001141544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568781,"about_ca_system_score_gemma":0.0001175634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000456369,"about_ca_topic_score_gemma":0.0006268436,"domain_scores_codex":[0.9998958,0.00001657653,0.000005227913,0.00002548213,0.00004162016,0.00001526136],"domain_scores_gemma":[0.9998384,0.00004280072,0.00006025769,0.00001169959,0.00002682071,0.00001995063],"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":[0.00008232542,0.00001774342,0.0001574871,0.000007549452,0.000002157742,0.00002041243,0.00001553102,0.0001076886,0.9987776,0.00006482665,0.0000148848,0.0007318733],"study_design_scores_gemma":[0.00001823749,0.0002161431,0.002259842,0.000001960208,0.000006358376,0.0001408484,0.00002888074,0.003164837,0.9931133,0.00006010355,0.0009848441,0.000004623704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921427,0.0001406704,0.006929661,0.00003728757,0.000006768906,0.00001975784,0.0001167323,0.00002489371,0.0005814896],"genre_scores_gemma":[0.9856638,0.0001632002,0.01278476,0.00004994204,0.000005043463,0.00002186772,0.0002739503,0.0000243161,0.001013121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007122423,"threshold_uncertainty_score":0.002382696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07580933891506156,"score_gpt":0.3360310746213536,"score_spread":0.260221735706292,"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."}}