{"id":"W4407959641","doi":"10.1021/acssensors.4c02772","title":"Harnessing a Fluorescent Nucleobase Surrogate for Supramolecular FRET-Aptamer Detection and Target-Site Mapping","year":2025,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Nucleobase; Förster resonance energy transfer; Fluorescence; Chemistry; Nanotechnology; Supramolecular chemistry; Combinatorial chemistry; Computational biology; DNA; Materials science; Biology; Molecular biology; Biochemistry; Molecule","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":[0.0001738088,0.0001806054,0.0001780765,0.0001075699,0.0001968241,0.00005022451,0.00006462039,0.0001644695,5.863164e-7],"category_scores_gemma":[0.000120278,0.0001721089,0.0001068891,0.0001691522,0.0001024041,0.000005925597,0.00007507817,0.00008291719,9.489554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002040824,"about_ca_system_score_gemma":0.00002222544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900733,"about_ca_topic_score_gemma":0.00002287367,"domain_scores_codex":[0.9989811,0.00005415613,0.0002001509,0.0004351932,0.00007659622,0.0002528508],"domain_scores_gemma":[0.9994588,0.00001783327,0.00007976829,0.0002647485,0.0001257536,0.00005306504],"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":[0.0000682234,0.00002139537,0.0008092031,0.00003452365,0.00006977587,0.000003623865,0.0000214185,0.00001792106,0.9866872,0.00002095654,0.0001567799,0.01208895],"study_design_scores_gemma":[0.0003547735,0.00006799593,0.0006356035,0.00005751824,0.00005449731,0.000007787778,0.00009987914,0.001418297,0.9753458,0.0002057367,0.02154843,0.0002036392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624259,0.0005163601,0.03631462,0.0002660566,0.00008162542,0.0002311325,0.00001532997,0.00006223901,0.00008677346],"genre_scores_gemma":[0.9847691,0.0001843473,0.0141481,0.0003820148,0.00007417057,0.00001193857,0.00005156975,0.00002103332,0.0003577427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02234322,"threshold_uncertainty_score":0.7018397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007042500923919413,"score_gpt":0.2521463686543483,"score_spread":0.2451038677304289,"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."}}