{"id":"W4320716983","doi":"10.1016/j.omtn.2023.02.010","title":"Discovery of DNA aptamers targeting SARS-CoV-2 nucleocapsid protein and protein-binding epitopes for label-free COVID-19 diagnostics","year":2023,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Russian Academy of Sciences; Canadian Institutes of Health Research; Russian Science Foundation","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Immunogenicity; Epitope; Molecular biology; Chemistry; Target protein; RNA; DNA; Virology; Biology; Binding selectivity; Computational biology; Biochemistry; Immune system; Antibody; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005043561,0.0003439323,0.000384774,0.0001556385,0.0002084439,0.00006779612,0.0003786687,0.0002590131,7.146325e-7],"category_scores_gemma":[0.0009286235,0.0003119163,0.000209773,0.0003547274,0.0003137394,0.00001786269,0.0002500062,0.000123727,0.000001627529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003254018,"about_ca_system_score_gemma":0.00008477429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002324105,"about_ca_topic_score_gemma":0.0000080858,"domain_scores_codex":[0.9981069,0.000122861,0.0004117448,0.0006569519,0.0002451973,0.0004563504],"domain_scores_gemma":[0.9988549,0.00004422594,0.0002596402,0.0006403604,0.0001141758,0.00008673634],"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":[0.0002275337,0.00007298806,0.0001568985,0.00009383842,0.0001804466,0.0000171545,0.00007187832,0.000003598851,0.9940603,0.0002685191,0.001145072,0.003701786],"study_design_scores_gemma":[0.00118048,0.0006188995,0.00002343572,0.00006021357,0.00003649349,0.000004563728,0.0001512812,0.0001185965,0.9778635,0.001399327,0.01814777,0.0003954629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839271,0.0007630254,0.01289203,0.0008650533,0.00004328664,0.00117585,0.0001548968,0.0001357549,0.00004297908],"genre_scores_gemma":[0.9795932,0.001015503,0.01786076,0.0007610556,0.00009528788,0.0001477355,0.0002588452,0.00009572815,0.0001719001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170027,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208390383272459,"score_gpt":0.2984214093140673,"score_spread":0.2775823709868214,"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."}}