{"id":"W4353032789","doi":"10.1021/jacs.3c00848","title":"Pushing Adenosine and ATP SELEX for DNA Aptamers with Nanomolar Affinity","year":2023,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Chemistry; DNA; Adenosine; Nucleic acid; Nucleotide; Small molecule; Biosensor; Biochemistry; Biophysics; Molecular biology; RNA; Gene; Biology","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":[0.0007071957,0.000726447,0.0007516125,0.000607587,0.0003366298,0.001105488,0.0005318748,0.0006497803,0.00113314],"category_scores_gemma":[0.001326907,0.0003632383,0.0004029699,0.0004271633,0.0003540038,0.0004797356,0.001092872,0.0008558485,0.0008584032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129056,"about_ca_system_score_gemma":0.0002545468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002129864,"about_ca_topic_score_gemma":0.0007073716,"domain_scores_codex":[0.9993068,0.0001180547,0.00005176104,0.0001381974,0.0002927335,0.00009245116],"domain_scores_gemma":[0.9995114,0.0002286414,0.0000487015,0.00005549563,0.00009587083,0.00005982224],"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":[0.0001084443,0.00008113114,0.0005086161,0.0001337411,0.00003897752,0.0003580193,0.0002160174,0.003449139,0.9692791,0.0008072538,0.0003187018,0.0247008],"study_design_scores_gemma":[0.00001516291,0.0002231783,0.0005129428,0.00001638914,0.00002580152,0.0003598305,0.00008391237,0.006870693,0.9846006,0.0005375954,0.006726434,0.00002747509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755984,0.00253153,0.1107694,0.0004728868,0.0001599053,0.0004849434,0.0005284649,0.0006649376,0.008789444],"genre_scores_gemma":[0.830709,0.002541898,0.1508475,0.0005673439,0.00004748414,0.0005657856,0.0009384173,0.0002819906,0.01350048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00113314,"threshold_uncertainty_score":0.003790736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008779866930804884,"score_gpt":0.2621267199221463,"score_spread":0.2533468529913414,"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."}}