{"id":"W3209346425","doi":"10.1101/2021.11.02.466984","title":"Ultrapotent and Broad Neutralization of SARS-CoV-2 Variants by Modular, Tetravalent, Bi-paratopic Antibodies","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Regione Lazio","keywords":"Spike Protein; Neutralization; Antibody; Bivalent (engine); Virology; Trimer; Chemistry; Modular design; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Fusion protein; Coronavirus disease 2019 (COVID-19); Computational biology; Chimera (genetics); Biology; Virus; Biochemistry; Recombinant DNA; Medicine; Computer science; Genetics; Gene","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":[0.0004127363,0.0004546606,0.0002057506,0.0003156141,0.000118424,0.0003361595,0.0003289243,0.0002790829,0.0008954433],"category_scores_gemma":[0.0001880332,0.0001817536,0.000321595,0.000156632,0.000180682,0.0002426003,0.0004607069,0.0008056033,0.0004062821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594831,"about_ca_system_score_gemma":0.0001577091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002882278,"about_ca_topic_score_gemma":0.0004203467,"domain_scores_codex":[0.9997941,0.00003761762,0.00001907981,0.00004244721,0.00005711259,0.00004975866],"domain_scores_gemma":[0.9998987,0.00001421912,0.00002082933,0.00002056515,0.00001667607,0.00002897702],"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":[0.00004846474,0.00003002476,0.0001420588,0.00001380784,0.000006021032,0.00001926613,0.00001037726,0.0001269529,0.9976076,0.0001209769,0.0000843813,0.00178998],"study_design_scores_gemma":[0.00004078038,0.0005797226,0.001785365,0.000005312591,0.00002256072,0.0003186836,0.00001543722,0.00238788,0.9911047,0.00009188212,0.003642453,0.000005299637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711635,0.0008896122,0.02465572,0.000109454,0.00005171911,0.00008231582,0.0003225085,0.0001863388,0.002538896],"genre_scores_gemma":[0.9793944,0.000406652,0.01670834,0.0001289415,0.00002466061,0.00006002741,0.0009270069,0.00004349884,0.00230652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008954433,"threshold_uncertainty_score":0.002995551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116941279927574,"score_gpt":0.2862200752294118,"score_spread":0.2550506624301361,"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."}}