{"id":"W4225271061","doi":"10.1002/cmdc.202200166","title":"One Solution for All: Searching for Universal Aptamers for Constantly Mutating Spike Proteins of SARS‐CoV‐2","year":2022,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; McMaster University","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Spike Protein; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computational biology; Target protein; Coronavirus disease 2019 (COVID-19); SELEX Aptamer Technique; 2019-20 coronavirus outbreak; Spike (software development); Biology; DNA; Virology; Genetics; RNA; Gene; Computer science","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":[0.002491782,0.001136111,0.001474649,0.000716961,0.0008974385,0.002418754,0.001185468,0.002672822,0.004131562],"category_scores_gemma":[0.003100703,0.0006406241,0.001103056,0.0004980424,0.001120541,0.004245206,0.002442457,0.004359841,0.00177947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922992,"about_ca_system_score_gemma":0.001102867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001996699,"about_ca_topic_score_gemma":0.0005151456,"domain_scores_codex":[0.9988039,0.0002775643,0.00009452137,0.0003092888,0.000327017,0.0001876859],"domain_scores_gemma":[0.9987048,0.0004155438,0.0001639068,0.0001853016,0.0002728335,0.0002575048],"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":[0.001422362,0.001280211,0.00852449,0.002388892,0.0009495682,0.001254552,0.0015704,0.00511296,0.5448221,0.01769062,0.03689339,0.3780906],"study_design_scores_gemma":[0.0008742147,0.007569652,0.006883414,0.001104906,0.000851443,0.006408735,0.003909711,0.01692751,0.5758969,0.05062203,0.3283012,0.0006503576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4023339,0.1103872,0.3425779,0.1144234,0.005975583,0.001229505,0.001473903,0.003576774,0.01802183],"genre_scores_gemma":[0.5662681,0.04654968,0.305038,0.0397206,0.001029893,0.0008336708,0.002050121,0.0008475744,0.03766241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004131562,"threshold_uncertainty_score":0.01382142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184068230842986,"score_gpt":0.3232500611651426,"score_spread":0.2814093788567127,"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."}}