{"id":"W4293211701","doi":"10.55730/1300-0152.2615","title":"Development a novel multi-epitope DNA vaccine against human SARS coronavirus-2: an immunoinformatics designing study","year":2022,"lang":"en","type":"article","venue":"TURKISH JOURNAL OF BIOLOGY","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"DNA vaccination; Epitope; Biology; Virology; Reverse vaccinology; Coronavirus; Antigen; Glycoprotein; Computational biology; Adjuvant; Immune system; Molecular biology; Genetics; Coronavirus disease 2019 (COVID-19); Immunology; Immunization; Infectious disease (medical specialty)","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":[0.0002000869,0.0003251505,0.0002798497,0.000285055,0.0001896785,0.000367204,0.0002737418,0.0004115155,0.001080793],"category_scores_gemma":[0.0001917883,0.0001677066,0.0003940807,0.0001865914,0.0001520497,0.0005688157,0.0002264357,0.0003418879,0.0002833423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306877,"about_ca_system_score_gemma":0.0004422604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106968,"about_ca_topic_score_gemma":0.0004732533,"domain_scores_codex":[0.9998949,0.00001508041,0.000004935684,0.00002727807,0.00004251871,0.00001533295],"domain_scores_gemma":[0.9999604,0.00000849398,0.000007785176,0.000002761964,0.00001298611,0.000007565979],"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":[0.0001499327,0.0002492614,0.002791713,0.0007095123,0.0000446317,0.0003668048,0.0001629489,0.04412615,0.8740399,0.007568448,0.0007868106,0.06900384],"study_design_scores_gemma":[0.00009896263,0.001977824,0.003871561,0.0001085024,0.0001321931,0.001167244,0.0003855583,0.255895,0.6889192,0.004496901,0.0428841,0.0000629166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7118092,0.01396451,0.2589893,0.001546352,0.0002521405,0.0003197113,0.0002917685,0.000342217,0.01248493],"genre_scores_gemma":[0.7948174,0.008094532,0.1901162,0.0003463851,0.00004526513,0.0001655629,0.0005808922,0.00003932125,0.005794329],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001080793,"threshold_uncertainty_score":0.003615558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05735280460381188,"score_gpt":0.3111376625354829,"score_spread":0.253784857931671,"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."}}