{"id":"W4387701119","doi":"10.1093/abt/tbad024","title":"<i>In vitro</i> generated antibodies guide thermostable ADDomer nanoparticle design for nasal vaccination and passive immunization against SARS-CoV-2","year":2023,"lang":"en","type":"article","venue":"Antibody Therapeutics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BrisSynBio; Engineering and Physical Sciences Research Council; Medical Research Council; Bundesministerium für Bildung und Forschung; Biotechnology and Biological Sciences Research Council; University of Bristol; Horizon 2020 Framework Programme; U.S. Food and Drug Administration; Max-Planck-Gesellschaft; Hamilton Health Sciences Foundation; European Research Council; British Society for Antimicrobial Chemotherapy; Wellcome Trust","keywords":"Virology; Immunization; Antibody; In vitro; Epitope; Vaccination; Chemistry; Biology; Computational biology; Immunology; Biochemistry","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":[0.0001889109,0.0003586881,0.0001204186,0.00009756894,0.000121448,0.0003742238,0.0002453145,0.0002467068,0.001289657],"category_scores_gemma":[0.0001227343,0.000142579,0.0002006404,0.0000625199,0.0001906124,0.0001981831,0.000197295,0.0002932685,0.000723829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541546,"about_ca_system_score_gemma":0.0002291029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004008456,"about_ca_topic_score_gemma":0.0006514101,"domain_scores_codex":[0.9999166,0.00001433554,0.000005677594,0.00001908621,0.00002748886,0.00001677269],"domain_scores_gemma":[0.9999491,0.000007579023,0.00001658532,0.00000537407,0.00001381144,0.000007566356],"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":[0.0000300066,0.00002239319,0.0002070379,0.00005306909,0.000004036115,0.00002705336,0.00001595865,0.001468583,0.9940317,0.0008637062,0.000148121,0.003128266],"study_design_scores_gemma":[0.000006556435,0.0001667277,0.0002946945,0.000004624542,0.000007528045,0.00005987551,0.00001285808,0.004801603,0.988918,0.0001028042,0.005619371,0.00000520776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709891,0.001553088,0.1134611,0.0003547501,0.00009694776,0.0002000109,0.0004356033,0.0004388975,0.01247052],"genre_scores_gemma":[0.9548054,0.0007788558,0.04014841,0.0001211816,0.000009020765,0.00008267517,0.0003141453,0.00005863129,0.003681694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001289657,"threshold_uncertainty_score":0.004314363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06959123620409179,"score_gpt":0.3847022416211422,"score_spread":0.3151110054170504,"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."}}