{"id":"W4417354064","doi":"10.1038/s41467-025-67486-x","title":"Expanded genetic alphabet increases structural and chemical diversity of six-letter DNA for high-affinity protein-targeting aptamers","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"Precursory Research for Embryonic Science and Technology; Japan Science and Technology Agency; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Core Research for Evolutional Science and Technology; Japan Agency for Medical Research and Development","keywords":"Aptamer; Nucleic acid; DNA; Alphabet; Stacking; Oligonucleotide; Base pair; Amino acid","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001349404,0.0002066158,0.00017335,0.0001237601,0.0001879995,0.0003301543,0.0002318245,0.0003797359,0.00324448],"category_scores_gemma":[0.0003390654,0.0001544464,0.000149895,0.0001378774,0.0002834763,0.0003798566,0.0002869296,0.0005970761,0.0009839048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469372,"about_ca_system_score_gemma":0.0001791347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001511442,"about_ca_topic_score_gemma":0.0002872805,"domain_scores_codex":[0.999885,0.00002034386,0.000009000061,0.0000302055,0.00003307918,0.00002233282],"domain_scores_gemma":[0.9998281,0.00004092374,0.00004567978,0.00002772982,0.0000232009,0.00003428871],"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":[0.00007498119,0.00002423993,0.0002094689,0.00005710484,0.000004171491,0.0001451864,0.00003367101,0.001387738,0.9907359,0.002032738,0.0002294637,0.005065219],"study_design_scores_gemma":[0.00002596803,0.0002226865,0.000584359,0.00000714599,0.000006594053,0.0003131498,0.00002432183,0.008465229,0.9804992,0.0007336997,0.009103062,0.00001464307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635863,0.0009219051,0.02583063,0.000351129,0.0001415358,0.00002880722,0.0001460208,0.0004846562,0.008508964],"genre_scores_gemma":[0.981757,0.0003912915,0.01467109,0.0001787067,0.0000160972,0.00002885872,0.0001191332,0.00005279655,0.002784965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00324448,"threshold_uncertainty_score":0.01085389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008358795650182757,"score_gpt":0.2806211065471929,"score_spread":0.2722623108970101,"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."}}