{"id":"W3208697730","doi":"10.22541/au.162742356.68704724/v1","title":"Epitope Screening Using Hydrogen/Deuterium Exchange Mass Spectrometry (HDX-MS): An Optimized Workflow for Accelerated Evaluation of Lead Monoclonal Antibodies","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Sanofi (Canada)","funders":"Sanofi Pasteur; Sanofi","keywords":"Epitope; Monoclonal antibody; Epitope mapping; Workflow; Hydrogen–deuterium exchange; Computational biology; Computer science; Chemistry; Mass spectrometry; Antigen; Antibody; Chromatography; Biology; Immunology; Database","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001656794,0.0008502777,0.0005370478,0.0006185828,0.0003147346,0.0007920801,0.0006433654,0.0005976332,0.001594442],"category_scores_gemma":[0.0008171222,0.000361189,0.0003796266,0.0003784317,0.0003580524,0.0004156748,0.0008089437,0.001085052,0.001118878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522598,"about_ca_system_score_gemma":0.0008227351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000497529,"about_ca_topic_score_gemma":0.001005825,"domain_scores_codex":[0.9991345,0.0001164202,0.00004993926,0.0002007392,0.0004193631,0.00007916423],"domain_scores_gemma":[0.999498,0.0001272429,0.00008201378,0.00009199379,0.0001431325,0.00005763631],"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":[0.0002122872,0.00005453873,0.0005599672,0.00007898177,0.00001985281,0.00006668195,0.00003979624,0.0005201222,0.9831403,0.0002352437,0.0004656765,0.01460664],"study_design_scores_gemma":[0.00004539167,0.0001952725,0.003181093,0.000008372068,0.00002063991,0.0003592851,0.00002329608,0.008085713,0.9828054,0.0002871694,0.004957794,0.00003066753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3938195,0.001512866,0.5910845,0.0004396013,0.0001531595,0.001043217,0.003090073,0.006307215,0.002549926],"genre_scores_gemma":[0.2995199,0.001246025,0.6922731,0.0002402488,0.00005596913,0.0006393518,0.002170005,0.0004476794,0.003407622],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001656794,"threshold_uncertainty_score":0.008762121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2270090673231018,"score_gpt":0.4216612168412059,"score_spread":0.1946521495181041,"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."}}