{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003853094,0.0001271887,0.0002069886,0.0000543895,0.0002136022,0.000008359187,0.0001476071,0.00007900449,7.266837e-7],"category_scores_gemma":[0.0001851097,0.0001436209,0.0002249831,0.0000853222,0.0001188093,0.000004415518,0.0001032272,0.00007486109,4.666674e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006047726,"about_ca_system_score_gemma":0.00009599126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001128462,"about_ca_topic_score_gemma":0.00001607969,"domain_scores_codex":[0.999001,0.00002276292,0.0002274116,0.0003393613,0.0001187558,0.0002907115],"domain_scores_gemma":[0.9993569,0.0000549704,0.0002014259,0.0001885882,0.0001628285,0.00003525888],"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":[0.0003822231,0.00008007489,0.000008512367,0.0001086909,0.0001220504,2.198559e-7,0.00006307566,0.00000753712,0.9886774,0.0002178128,0.0007970902,0.009535289],"study_design_scores_gemma":[0.0008972385,0.0006587767,0.000001687398,0.00001598835,0.0000795359,0.000002908573,0.0004192666,0.002349241,0.9806764,0.0006049663,0.01411525,0.0001787166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5510946,0.0001215643,0.4445857,0.0008017124,0.0000728186,0.002303665,0.0006997139,0.00006663908,0.0002535628],"genre_scores_gemma":[0.864427,0.00001012403,0.1342565,0.000153115,0.00008563307,0.0002389092,0.0006617602,0.00002757273,0.0001394048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133323,"threshold_uncertainty_score":0.5856689,"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."}}