{"id":"W4210491405","doi":"10.1101/2022.02.03.479007","title":"VE607 Stabilizes SARS-CoV-2 Spike In the “RBD-up” Conformation and Inhibits Viral Entry","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health; Fondation du CHUM","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Spike Protein; Docking (animal); Coronavirus disease 2019 (COVID-19); Receptor; Virology; Binding site; Glycoprotein; In silico; Viral entry; 2019-20 coronavirus outbreak; Chemistry; Biology; Cell biology; Molecular biology; Biochemistry; Virus; Viral replication; Medicine","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":[0.0001063231,0.0001758619,0.0002431556,0.0001413206,0.0000945193,0.0002406582,0.0002362678,0.0001772685,0.003327984],"category_scores_gemma":[0.0001423619,0.00007193679,0.000185435,0.00006240048,0.0001447013,0.00009474425,0.0001529841,0.0002626827,0.001082114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142814,"about_ca_system_score_gemma":0.0001423927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003410357,"about_ca_topic_score_gemma":0.000251882,"domain_scores_codex":[0.9999231,0.00001279625,0.000004529751,0.000009289775,0.00002991122,0.00002034522],"domain_scores_gemma":[0.9999657,0.000008741701,0.000005846572,0.000004391522,0.000004903501,0.00001045519],"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":[0.0003067806,0.00008387044,0.000372457,0.00003256505,0.00001282874,0.00007479173,0.000009650099,0.0006416253,0.9925433,0.0004668095,0.0004152765,0.005040075],"study_design_scores_gemma":[0.0000513344,0.0003044935,0.001238921,0.000003658835,0.00000912833,0.000201942,0.00001122849,0.002652697,0.991486,0.0001127662,0.003923625,0.000004304999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922666,0.0008021435,0.002329684,0.0001229469,0.00003771826,0.00001255299,0.0002371934,0.0001076374,0.004083553],"genre_scores_gemma":[0.9936867,0.000326605,0.001712137,0.00008036511,0.00001174818,0.000008310115,0.0007050777,0.00003156422,0.00343751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003327984,"threshold_uncertainty_score":0.01113325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305222333579735,"score_gpt":0.2991630598476769,"score_spread":0.2661108365118796,"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."}}