{"id":"W4407192471","doi":"10.1021/acs.chemrestox.4c00496","title":"A High-Affinity and Selective DNA Aptamer for the <i>N</i>-Linked C8-Deoxyguanosine Adduct Produced by the Arylamine Carcinogen 4-Aminobiphenyl","year":2025,"lang":"en","type":"article","venue":"Chemical Research in Toxicology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Deoxyguanosine; Carcinogen; Adduct; DNA; Oligonucleotide; Aptamer; Isothermal titration calorimetry; DNA adduct; Heterocyclic amine; Aromatic amine; Biochemistry; Combinatorial chemistry; Molecular biology; Organic chemistry; 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":[0.0001559673,0.0004738006,0.0003031797,0.000195773,0.0001477795,0.0001930235,0.0003919256,0.0005394086,0.0008283301],"category_scores_gemma":[0.0002414643,0.0002026312,0.000174744,0.0001429958,0.0002267751,0.0001633379,0.0002828681,0.0003884423,0.0004918198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066878,"about_ca_system_score_gemma":0.0001337717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003387188,"about_ca_topic_score_gemma":0.0006058213,"domain_scores_codex":[0.9997266,0.00003820153,0.0000138951,0.00009870301,0.00007601675,0.00004645313],"domain_scores_gemma":[0.9998926,0.00002594886,0.00002613791,0.00001097871,0.00002059345,0.00002375333],"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":[0.00001431713,0.00001220902,0.00007119958,0.00001290073,0.000001964377,0.00002288042,0.00001123996,0.0000916723,0.9986463,0.00002758432,0.0000242897,0.001063354],"study_design_scores_gemma":[0.000003687694,0.0001134877,0.0004652542,0.000001406971,0.000003400323,0.0001433579,0.000007075928,0.0007993412,0.9977351,0.000009505253,0.0007150306,0.000003237153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579738,0.0006377477,0.03781629,0.0002003025,0.00003966669,0.0001196208,0.0002393159,0.0003265516,0.002646819],"genre_scores_gemma":[0.969196,0.0003010762,0.02398,0.0002392103,0.00001149397,0.00008136756,0.0004711787,0.00004981723,0.005669934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008283301,"threshold_uncertainty_score":0.00277102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341917254874614,"score_gpt":0.3644371925605255,"score_spread":0.3302454670730641,"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."}}