{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001897189,0.0004162769,0.0003171013,0.0002355298,0.000111063,0.0002135869,0.0001594769,0.0003290513,0.0006264715],"category_scores_gemma":[0.00009357496,0.0001127879,0.0002951372,0.000115354,0.0001508151,0.0001647871,0.0001564229,0.0005253612,0.000175321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899913,"about_ca_system_score_gemma":0.0001449686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007734848,"about_ca_topic_score_gemma":0.001294096,"domain_scores_codex":[0.9998306,0.00002102661,0.00001322861,0.00003717385,0.00006305394,0.00003483103],"domain_scores_gemma":[0.999941,0.00001013054,0.00001139008,0.00001175324,0.00001201952,0.00001357942],"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":[0.00006620112,0.00006327373,0.0002003127,0.00002568374,0.00001018331,0.00001820638,0.00001448885,0.0001417615,0.997029,0.00005432121,0.00009742169,0.002279069],"study_design_scores_gemma":[0.00001376737,0.00116567,0.003450325,0.000006036713,0.00002508575,0.0002227685,0.00002008723,0.0008724249,0.9915726,0.00004600899,0.00260116,0.000004118071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878813,0.003059503,0.005350151,0.0001251672,0.00004268973,0.00006092489,0.0003909611,0.0001720885,0.002917159],"genre_scores_gemma":[0.9904848,0.001455372,0.003732338,0.0001525738,0.00001383178,0.00006734373,0.0008296338,0.00002442984,0.003239793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007734848,"threshold_uncertainty_score":0.002104044,"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."}}