{"id":"W4391546057","doi":"10.1007/978-1-0716-3666-4_6","title":"A Biosensor Assay Based on Coiled-Coil-Mediated Human ACE2 Receptor Capture for the Analysis of Its Interactions with the SARS-CoV-2 Receptor Binding Domain","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; Polytechnique Montréal","funders":"","keywords":"Surface plasmon resonance; Biosensor; Biophysics; Chemistry; Receptor; Angiotensin-converting enzyme 2; Combinatorial chemistry; Biochemistry; Nanotechnology; Materials science; Coronavirus disease 2019 (COVID-19); Biology; Nanoparticle","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":[0.0007329317,0.001563876,0.0009923517,0.0007578224,0.0004481368,0.0005190888,0.001253632,0.0017677,0.001259778],"category_scores_gemma":[0.0005517451,0.0004352074,0.0007402823,0.0005600194,0.0003772186,0.0004652927,0.0005511934,0.001321721,0.001064049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006597121,"about_ca_system_score_gemma":0.0004081816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005654182,"about_ca_topic_score_gemma":0.001043462,"domain_scores_codex":[0.9987975,0.0002763054,0.00005170023,0.0002981804,0.0003871029,0.0001892151],"domain_scores_gemma":[0.9996293,0.0001214636,0.00005299136,0.00003810896,0.00008854196,0.00006963517],"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":[0.0000542932,0.0000645625,0.00008344617,0.00005249866,0.0000142324,0.00002207031,0.0000162926,0.00007085261,0.9978871,0.00009723132,0.00009996776,0.001537483],"study_design_scores_gemma":[0.00001440843,0.0002693124,0.0009442026,0.000006314094,0.00002436415,0.0002270942,0.00001967698,0.004330033,0.9927998,0.00006066201,0.001284095,0.00002003099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5159739,0.005999751,0.4665716,0.0006553783,0.0005743494,0.0008526922,0.001404496,0.001924409,0.006043415],"genre_scores_gemma":[0.7508002,0.002956033,0.230222,0.0008716624,0.0001636424,0.0009929704,0.002299731,0.00007708179,0.01161674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0017677,"threshold_uncertainty_score":0.004786611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05770105376744327,"score_gpt":0.454553189668977,"score_spread":0.3968521359015337,"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."}}