{"id":"W2967626157","doi":"10.1039/c9ob01515a","title":"Compatibility of 5-ethynyl-2′F-ANA UTP with <i>in vitro</i> selection for the generation of base-modified, nuclease resistant aptamers","year":2019,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Nautical Research Society","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Pasteur; Infrastructures en Biologie Santé et Agronomie; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; National Science Foundation","keywords":"Chemistry; Nuclease; Nucleobase; Aptamer; In vitro; Combinatorial chemistry; Compatibility (geochemistry); Base pair; Nucleoside; Nucleotide; Nucleoside analogue; DNA; Stereochemistry; Computational biology; Biochemistry; Genetics; Gene; 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":[0.0002464299,0.0003214601,0.000224572,0.00008662661,0.0001118156,0.0002861966,0.0002372414,0.0002659053,0.0007839686],"category_scores_gemma":[0.000247757,0.0002015834,0.0001453498,0.00008676408,0.0001354269,0.0001265172,0.0001681274,0.0003135372,0.0004256845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513975,"about_ca_system_score_gemma":0.0001370924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477983,"about_ca_topic_score_gemma":0.0005388891,"domain_scores_codex":[0.9997633,0.00005743237,0.00001858648,0.00005553222,0.00006934674,0.00003576697],"domain_scores_gemma":[0.9998275,0.00005321682,0.00004810808,0.00002673171,0.00002267756,0.00002172582],"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":[0.000008034195,0.000003795874,0.00002310048,0.000004206292,6.044796e-7,0.00001718005,0.000004321407,0.00004028861,0.9996256,0.00001949391,0.000003894985,0.0002495773],"study_design_scores_gemma":[0.000001254597,0.00002984261,0.0001352818,4.799422e-7,0.000001422697,0.00004903482,0.000002230346,0.0002384384,0.9991912,0.000004202296,0.0003453201,0.000001129084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769258,0.0002237054,0.02067217,0.00004097211,0.00002449802,0.00007620997,0.0002050697,0.0001259477,0.001705617],"genre_scores_gemma":[0.9763589,0.0002186803,0.01894719,0.00003160717,0.000007005348,0.0000755316,0.0003714586,0.00006829824,0.00392139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007839686,"threshold_uncertainty_score":0.002622664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009726252178787649,"score_gpt":0.2398295849852988,"score_spread":0.2301033328065111,"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."}}