{"id":"W3213271440","doi":"10.1002/biot.202100358","title":"Epitope screening using Hydrogen/Deuterium Exchange Mass Spectrometry (HDX‐MS): An accelerated workflow for evaluation of lead monoclonal antibodies","year":2021,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada); York University; Sanofi (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epitope; Epitope mapping; Monoclonal antibody; Hydrogen–deuterium exchange; Antigenicity; Chemistry; Computational biology; Antigen; Workflow; Mass spectrometry; Computer science; Antibody; Chromatography; Biology; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515133,0.000264169,0.0006200931,0.0006765921,0.0003441758,0.0000581638,0.0002704961,0.0005274526,0.0005450707],"category_scores_gemma":[0.0003681174,0.0002329124,0.0002709434,0.0007345685,0.0003590856,0.0002344701,0.000132666,0.0008273787,0.000004391365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154351,"about_ca_system_score_gemma":0.0005421997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003636478,"about_ca_topic_score_gemma":0.0000178111,"domain_scores_codex":[0.9972537,0.0002267737,0.0006093984,0.0004210185,0.0008459101,0.0006432442],"domain_scores_gemma":[0.9978532,0.00008404731,0.0003082707,0.0003536126,0.00121623,0.0001846174],"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":[0.0006210541,0.0001663048,0.01541359,0.0001175985,0.0004732323,0.0002237106,0.00006666857,0.0001102696,0.9173707,0.000116302,0.0001992646,0.06512135],"study_design_scores_gemma":[0.00312067,0.0008263942,0.01372598,0.0003104235,0.0003713962,0.003033012,0.0003167245,0.05360952,0.9217897,0.001285041,0.001332029,0.0002791355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724275,0.006856286,0.01690593,0.002877622,0.0002827325,0.0003999834,0.0000502768,0.00005530712,0.0001443449],"genre_scores_gemma":[0.8680755,0.001783914,0.1286457,0.0001267331,0.0008727335,0.00001473774,0.0001103158,0.00004865248,0.0003216588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117398,"threshold_uncertainty_score":0.9497892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422315161420396,"score_gpt":0.3956177589622268,"score_spread":0.2533862428201872,"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."}}