{"id":"W4406170049","doi":"10.1021/acs.accounts.4c00580","title":"Sequence-Defined DNA Polymers: New Tools for DNA Nanotechnology and Nucleic Acid Therapy","year":2025,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Fonds de recherche du Québec – Nature et technologies; Canada Council for the Arts; Canada Research Chairs; Government of Canada","keywords":"DNA nanotechnology; Supramolecular chemistry; DNA origami; DNA; Nanotechnology; Stacking; Materials science; Supramolecular polymers; Sticky and blunt ends; Sequence (biology); Polymer; Self-assembly; Base pair; Nanostructure; Molecule; Chemistry","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":[0.0003633798,0.0001397985,0.0002330532,0.0001469722,0.00006624101,0.00004099369,0.0003538121,0.0003810916,0.000004844951],"category_scores_gemma":[0.0009332132,0.0001178601,0.00009332919,0.0003226965,0.0004868199,0.00001097617,0.000226609,0.0001741626,8.155429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002649823,"about_ca_system_score_gemma":0.000193698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003149961,"about_ca_topic_score_gemma":0.000006260094,"domain_scores_codex":[0.998725,0.00003183403,0.0002297973,0.0004374998,0.0002068556,0.0003690232],"domain_scores_gemma":[0.9990407,0.0001263111,0.00005632408,0.0004341954,0.0002794467,0.0000630053],"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":[0.0002813346,0.00003803198,0.00004873829,0.0000181889,0.00006002238,4.921567e-7,0.000007158838,1.752908e-8,0.8956956,0.0004219464,0.002074603,0.1013539],"study_design_scores_gemma":[0.0005155869,0.0001895616,0.00001923497,0.00003423039,0.000009061067,0.000002398936,0.00005074625,0.000009958367,0.9717478,0.003807854,0.02350252,0.0001110879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953017,0.001319241,0.0003223328,0.002310368,0.00001944593,0.0002803213,0.00002632292,0.00003094907,0.0003892886],"genre_scores_gemma":[0.9945462,0.001165058,0.003347713,0.000275241,0.00007106739,0.00002343363,0.00005776038,0.0000150822,0.0004984268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012428,"threshold_uncertainty_score":0.4806197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759631778559084,"score_gpt":0.3890039271937361,"score_spread":0.3314076094081452,"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."}}