{"id":"W3135769626","doi":"10.1016/j.bios.2021.113122","title":"SARS-CoV-2 S1 NanoBiT: A nanoluciferase complementation-based biosensor to rapidly probe SARS-CoV-2 receptor recognition","year":2021,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Biosensor; Ectodomain; Luciferase; Protein-fragment complementation assay; Viral entry; Chemistry; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Directed evolution; Virus; Computational biology; Biochemistry; Biophysics; Complementation; Coronavirus disease 2019 (COVID-19); Biology; Receptor; Viral replication; Transfection; Medicine","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":[0.0006032133,0.001023486,0.0006767536,0.0004736482,0.0003418782,0.0005691208,0.001074395,0.0008688986,0.001785487],"category_scores_gemma":[0.0003006292,0.0003837368,0.0004475295,0.0003728877,0.0006267542,0.0005631107,0.0004219893,0.001732098,0.001287864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144183,"about_ca_system_score_gemma":0.0004857974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009635616,"about_ca_topic_score_gemma":0.001541836,"domain_scores_codex":[0.9994847,0.0001092837,0.00003932341,0.0001100507,0.0001982778,0.00005834335],"domain_scores_gemma":[0.999788,0.00004597473,0.00003527628,0.00003604344,0.00003917899,0.00005547563],"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":[0.00005755374,0.00003686229,0.00003495781,0.00001831385,0.000003438069,0.000008923876,0.000008964306,0.00004242594,0.998909,0.0001078414,0.0001100121,0.0006617286],"study_design_scores_gemma":[0.000006341662,0.00003972826,0.000149481,0.000001581319,0.000002836029,0.00005207063,0.000005874903,0.0009164003,0.9979306,0.00002299021,0.000867819,0.000004269915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513398,0.001431885,0.1374916,0.001195792,0.0002253547,0.0002928705,0.002304077,0.002533996,0.003184513],"genre_scores_gemma":[0.8625731,0.001015338,0.1160242,0.0003725556,0.00003668708,0.0003920255,0.006879222,0.0003459478,0.01236089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001785487,"threshold_uncertainty_score":0.008301675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717394101163195,"score_gpt":0.3128127649053489,"score_spread":0.275638823893717,"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."}}