{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357537,0.0006600551,0.000314402,0.0005780265,0.0002755475,0.0004911508,0.0004350288,0.0003910306,0.00160086],"category_scores_gemma":[0.0006515491,0.0002250304,0.0002608792,0.0002971196,0.0003245355,0.0003431508,0.0005355955,0.0007417699,0.0006905237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479505,"about_ca_system_score_gemma":0.0006056969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004400102,"about_ca_topic_score_gemma":0.0008368156,"domain_scores_codex":[0.9994369,0.00008680739,0.00002442286,0.0001046193,0.0002994937,0.00004772079],"domain_scores_gemma":[0.9995381,0.0001320563,0.00007989816,0.00006395029,0.0001400102,0.00004596381],"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":[0.0001568306,0.00004380977,0.0008738088,0.00007172304,0.00001968586,0.00005604407,0.00003606987,0.0004510416,0.9831758,0.0002990436,0.0003527565,0.01446344],"study_design_scores_gemma":[0.00003464531,0.0002513732,0.003846835,0.000007640861,0.00001964713,0.0003540494,0.00002862632,0.006639529,0.9842744,0.000280606,0.004240835,0.00002185225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6241948,0.001725225,0.364132,0.0004123861,0.0001107729,0.0006606638,0.002235653,0.002793986,0.003734499],"genre_scores_gemma":[0.5699384,0.001659097,0.4221554,0.000250911,0.0000507556,0.0004401663,0.001424983,0.0001783533,0.003901848],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00160086,"threshold_uncertainty_score":0.007179439,"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."}}