{"id":"W3204052519","doi":"10.3389/fimmu.2021.716676","title":"Shotgun Immunoproteomic Approach for the Discovery of Linear B-Cell Epitopes in Biothreat Agents Francisella tularensis and Burkholderia pseudomallei","year":2021,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; National Nuclear Security Administration; National Institute of Allergy and Infectious Diseases; National Research Council Canada; National Institutes of Health; Sandia National Laboratories; Laboratory Directed Research and Development; U.S. Department of Energy","keywords":"Epitope; Francisella tularensis; Proteome; Computational biology; Antigen; Epitope mapping; Biology; Burkholderia pseudomallei; Immune system; Microbiology; Virology; Immunology; Bioinformatics; Genetics; Bacteria; Gene; Virulence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002831314,0.0004564192,0.0003240782,0.0006117626,0.000214307,0.0003104343,0.0002991542,0.0004951318,0.0003433097],"category_scores_gemma":[0.0002184151,0.0001331163,0.0003472044,0.0003389741,0.0002310176,0.0002550427,0.0003737139,0.000554268,0.0001991563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698223,"about_ca_system_score_gemma":0.000217537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004745326,"about_ca_topic_score_gemma":0.0009102117,"domain_scores_codex":[0.9997961,0.00003286561,0.00001197139,0.00004496473,0.00008459036,0.00002951549],"domain_scores_gemma":[0.9998991,0.00002555454,0.00002552342,0.0000103759,0.00002295416,0.00001640467],"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":[0.00002727523,0.00002346695,0.0002912145,0.00004176524,0.000007245414,0.00004643209,0.00001523899,0.00005968462,0.9971264,0.00004167747,0.00002529084,0.002294361],"study_design_scores_gemma":[0.000008121091,0.0003386348,0.005344425,0.000007882169,0.00003282246,0.000453866,0.00005839847,0.00392227,0.9877056,0.0001057712,0.002009582,0.00001250094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040155,0.00272351,0.09033713,0.0002473519,0.00005657237,0.0002452915,0.0008122505,0.0003030153,0.001259526],"genre_scores_gemma":[0.8861766,0.002482093,0.107233,0.0003110904,0.00002925782,0.000184501,0.00186201,0.00005558533,0.001665922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006117626,"threshold_uncertainty_score":0.001497388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022703241932112,"score_gpt":0.2172075488269101,"score_spread":0.206980516407589,"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."}}