{"id":"W4417304244","doi":"10.1002/anie.202514445","title":"Enriching Higher Affinity Aptamers by Addressing the Kinetic Aspect of the DNA Strand‐Displacement Reaction","year":2025,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aptamer; Kinetics; DNA; Systematic evolution of ligands by exponential enrichment; SELEX Aptamer Technique","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":[0.0005283902,0.000586395,0.0004077571,0.0003257844,0.0001776825,0.0005367448,0.0002707712,0.0004434541,0.001154197],"category_scores_gemma":[0.0007505417,0.0002867045,0.0002117327,0.0002841829,0.0002805334,0.0003617845,0.0003302289,0.0006124244,0.0008068109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000354374,"about_ca_system_score_gemma":0.0002996126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003901078,"about_ca_topic_score_gemma":0.001069372,"domain_scores_codex":[0.9995515,0.0001002155,0.00003929638,0.00009741849,0.0001341134,0.00007732985],"domain_scores_gemma":[0.9996399,0.0001743294,0.00005672293,0.0000290366,0.00006820931,0.00003182891],"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":[0.000009394947,0.000007148547,0.00005382338,0.00002971669,0.000002070503,0.000009345638,0.000009906004,0.00008521284,0.9982658,0.00005073454,0.00002390463,0.001453078],"study_design_scores_gemma":[0.000002312651,0.00003344273,0.0002161612,0.000001596847,0.000002611695,0.00003509183,0.000004933961,0.0007323051,0.9981453,0.00002588706,0.000796182,0.000004195856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8641431,0.003499152,0.1272124,0.000310634,0.000105494,0.000250405,0.000222978,0.0005738173,0.00368202],"genre_scores_gemma":[0.9237829,0.001598976,0.06934692,0.000196956,0.00002321188,0.0001649839,0.0002245095,0.0001096871,0.004551877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154197,"threshold_uncertainty_score":0.003861129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531922387435667,"score_gpt":0.2929067716499393,"score_spread":0.2775875477755826,"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."}}