{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004935092,0.0005561135,0.0004187198,0.000571628,0.0003955878,0.00116089,0.0006135371,0.0005112357,0.001852792],"category_scores_gemma":[0.0003990702,0.0003724122,0.0006688671,0.0004148358,0.0002942123,0.0006190522,0.0004628137,0.0008668248,0.0006097642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005293415,"about_ca_system_score_gemma":0.0009215728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005625667,"about_ca_topic_score_gemma":0.0009115596,"domain_scores_codex":[0.9998186,0.00005365942,0.000008669635,0.00003175572,0.00006995678,0.00001734824],"domain_scores_gemma":[0.9998844,0.00003973033,0.00001961372,0.00001254111,0.00003418384,0.000009526573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002850139,0.000582744,0.002317429,0.0005887743,0.0002410104,0.0003884367,0.0001275386,0.2009747,0.5323526,0.09634281,0.004958114,0.160841],"study_design_scores_gemma":[0.00005143119,0.0003367202,0.0008562879,0.00004115139,0.00009763323,0.0002854896,0.0001193064,0.7580943,0.1754489,0.04556679,0.0190581,0.00004390233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0582473,0.0007450827,0.9294614,0.001015726,0.0001151021,0.0001345948,0.000366967,0.001017211,0.008896627],"genre_scores_gemma":[0.2779176,0.001146104,0.7147254,0.0006965935,0.00006078767,0.0002090474,0.0009021651,0.0001171452,0.004225003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001852792,"threshold_uncertainty_score":0.006198168,"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."}}