{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653512,0.0003415924,0.0002079977,0.000188002,0.0001037336,0.0002200117,0.0002598295,0.0005894947,0.0006063106],"category_scores_gemma":[0.0002473121,0.0001729861,0.0002538525,0.0001046317,0.0001895907,0.000195999,0.0002585233,0.0004254514,0.000346317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662633,"about_ca_system_score_gemma":0.000164433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002096089,"about_ca_topic_score_gemma":0.0004168925,"domain_scores_codex":[0.9997848,0.00003540596,0.00001186033,0.0000489374,0.00008738825,0.00003162009],"domain_scores_gemma":[0.9999187,0.00001757356,0.00002312251,0.000006260664,0.00001792671,0.00001642904],"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":[0.00001839225,0.00001504978,0.00006689362,0.00001739559,0.000002260781,0.00002139288,0.00000707765,0.0001380781,0.9981932,0.00007700009,0.00001726621,0.001425903],"study_design_scores_gemma":[0.000008850995,0.0001471493,0.0003549145,0.000002909452,0.000004431995,0.0001236568,0.000008544753,0.002438012,0.9957334,0.0000465702,0.001127398,0.000004054117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170047,0.001860167,0.07754475,0.0002672599,0.00007694922,0.0001883819,0.0002234911,0.0002067258,0.00262755],"genre_scores_gemma":[0.9300184,0.0006977009,0.06545688,0.0002467041,0.00001505959,0.0001036399,0.0002651529,0.00002633353,0.003169988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006063106,"threshold_uncertainty_score":0.002657473,"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."}}