{"id":"W4387948517","doi":"10.1021/acs.analchem.3c03787","title":"Multiplexed SELEX for Sulfonamide Antibiotics Yielding a Group-Specific DNA Aptamer for Biosensors","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Chemistry; Sulfadimethoxine; Antibiotics; Detection limit; Chromatography; Combinatorial chemistry; RNA; Molecular biology; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002785509,0.000278254,0.0003217098,0.00005509273,0.0001608596,0.00004519069,0.0002169839,0.0003602598,0.000004185524],"category_scores_gemma":[0.0004513466,0.0002598066,0.0004231278,0.0003327476,0.0001736881,0.000004720141,0.00009547327,0.0001108632,0.000005281305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002900174,"about_ca_system_score_gemma":0.00002781347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001801206,"about_ca_topic_score_gemma":0.000002866429,"domain_scores_codex":[0.9982341,0.00001348202,0.0003603633,0.0006914828,0.0001569258,0.0005436692],"domain_scores_gemma":[0.9989859,0.0001282479,0.0001068213,0.0004479939,0.0001873021,0.0001437753],"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":[0.0001346875,0.0000580797,0.0002322642,0.00008673379,0.0001222833,0.000003461921,0.00000455606,0.00001612137,0.9869639,0.0001012653,0.01113887,0.00113782],"study_design_scores_gemma":[0.0005149083,0.00009702009,0.00009838127,0.00002604861,0.00008133698,0.000006650749,0.00009660847,0.005123906,0.9277546,0.0002154205,0.06561903,0.0003660352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842529,0.0001060659,0.01346837,0.0005712155,0.00007946648,0.0004568693,0.0002657497,0.0002766274,0.0005227746],"genre_scores_gemma":[0.9823589,0.0002127425,0.01272309,0.0001722184,0.0005701963,0.00001143802,0.001235851,0.00005650872,0.002659072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0592092,"threshold_uncertainty_score":0.9999854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702046631620296,"score_gpt":0.3018394131740188,"score_spread":0.2748189468578158,"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."}}