{"id":"W4399330838","doi":"10.2174/0115701646302487240524103934","title":"An Immunoinformatic Approach to Designing a Multi-epitope Vaccine against <i>Helicobacter pylori</i> with the VacA Toxin and BabA Adhesion","year":2024,"lang":"en","type":"article","venue":"Current Proteomics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Immunogenicity; Epitope; Adjuvant; Helicobacter pylori; Bacterial adhesin; Immune system; DNA vaccination; Microbiology; Biology; In silico; Docking (animal); Antigen; Chemistry; Immunology; Gene; Escherichia coli; Medicine; Immunization; Biochemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003936009,0.0003056082,0.0002024616,0.00007362862,0.0002026633,0.000366567,0.0003553503,0.0001023669,0.000001504562],"category_scores_gemma":[0.00002209046,0.0001872366,0.00006668414,0.0001860745,0.00002798163,0.00005953626,0.0002099885,0.0002674676,0.00001281645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002508492,"about_ca_system_score_gemma":0.00008889144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003751476,"about_ca_topic_score_gemma":0.000002346467,"domain_scores_codex":[0.9987912,0.00004618876,0.000343593,0.000333158,0.0001444885,0.0003414399],"domain_scores_gemma":[0.9991866,0.00001130455,0.00008557379,0.0005240259,0.00006853959,0.0001239677],"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":[0.0004221593,0.0003376206,0.0006107538,0.001081342,0.0002269912,0.000001507408,0.004046232,0.001331162,0.8564232,0.0002428303,0.002935809,0.1323404],"study_design_scores_gemma":[0.005498076,0.003462742,0.004194772,0.001196092,0.0003460185,0.0002695526,0.00508115,0.2690528,0.5059161,0.00004576979,0.2020362,0.002900821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715313,0.004720394,0.1215692,0.000231092,0.000189105,0.001494743,0.0000209434,0.00005254375,0.0001907278],"genre_scores_gemma":[0.947973,0.001124676,0.04925021,0.0004135173,0.0003014189,0.0004199397,0.0003575219,0.0000723446,0.00008737396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3505071,"threshold_uncertainty_score":0.7635285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836950916760675,"score_gpt":0.251075732947251,"score_spread":0.2327062237796443,"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."}}