{"id":"W4295222516","doi":"10.1038/s42003-022-03866-z","title":"Arsenal of nanobodies shows broad-spectrum neutralization against SARS-CoV-2 variants of concern in vitro and in vivo in hamster models","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; University of Ottawa; National Research Council Canada","funders":"National Research Council Canada; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neutralization; Computational biology; Heterologous; In vitro; Virology; Biology; Broad spectrum; In vivo; Epitope; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Chemistry; Genetics; Coronavirus disease 2019 (COVID-19); Combinatorial chemistry; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003181545,0.00008134751,0.0003266058,0.0003607407,0.00004906919,0.000002235025,0.0002916003,0.00005953812,0.00002311371],"category_scores_gemma":[0.0000335847,0.0000766173,0.00003245899,0.0003332528,0.0003776444,0.00004523066,0.0005134835,0.0002808691,4.727247e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005809151,"about_ca_system_score_gemma":0.00008665105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539713,"about_ca_topic_score_gemma":0.002579408,"domain_scores_codex":[0.9988015,0.0003760025,0.0004234476,0.0001462655,0.00007911869,0.0001736485],"domain_scores_gemma":[0.9992138,0.0001966582,0.00009237077,0.0004408287,0.00003765694,0.00001872666],"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":[0.0008350461,0.0004696294,0.1150083,0.00006827312,0.00002677402,0.000006780697,0.001670081,0.0002975282,0.8686994,0.01119687,0.00005565644,0.001665629],"study_design_scores_gemma":[0.01119777,0.001425366,0.2120109,0.0004849785,0.00005080994,0.00014489,0.003152745,0.3164671,0.4073473,0.03402153,0.01295376,0.0007428005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919358,0.002086316,0.00002883472,0.002759819,0.00002174306,0.0002735146,0.0001161461,0.000004647791,0.002773146],"genre_scores_gemma":[0.9969739,0.002010287,0.0004720817,0.0002732285,0.000005275677,0.00005236326,0.0001248605,0.000006847182,0.00008115933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4613521,"threshold_uncertainty_score":0.3124363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078176945881712,"score_gpt":0.365073443850348,"score_spread":0.2572557492621768,"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."}}