{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123612,0.0001890025,0.0002667824,0.00008964611,0.0002334359,0.00003070351,0.0004318052,0.0003132515,0.00000213805],"category_scores_gemma":[0.002100824,0.0001140262,0.0000810026,0.0005472073,0.001012047,0.000004123608,0.0003948093,0.0005061201,6.935924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007846391,"about_ca_system_score_gemma":0.00015935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004649015,"about_ca_topic_score_gemma":0.00006146115,"domain_scores_codex":[0.9980438,0.0002805181,0.0002720916,0.0006554442,0.0001781172,0.0005700137],"domain_scores_gemma":[0.9982377,0.0008143585,0.00005833092,0.0005145617,0.00031023,0.00006482405],"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":[0.0003903819,0.0001330642,0.0002257028,0.00002199921,0.00008835962,0.000001365339,0.00002167219,7.92122e-7,0.9713981,0.0002132997,0.02028094,0.00722439],"study_design_scores_gemma":[0.0005878799,0.0002911953,0.0005607624,0.00001424238,0.00002994964,0.000005849146,0.0000794525,0.00008486986,0.9820253,0.001264699,0.01492972,0.0001260724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847053,0.001817804,0.0002315805,0.011925,0.00005722712,0.001041154,0.00004495279,0.00002186594,0.0001551578],"genre_scores_gemma":[0.9969245,0.0004901197,0.0006492645,0.0007010087,0.0001798945,0.0003672754,0.00008453904,0.00001675709,0.0005865945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01221929,"threshold_uncertainty_score":0.4649852,"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."}}