{"id":"W2623017876","doi":"10.1093/nar/gkx517","title":"New insights into a classic aptamer: binding sites, cooperativity and more sensitive adenosine detection","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Cooperativity; Isothermal titration calorimetry; Biology; Cooperative binding; Biosensor; Binding site; Adenosine; Biophysics; Adenosine triphosphate; DNA; Biochemistry; Molecular 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":[0.0006007656,0.0005679211,0.0005860259,0.0002460437,0.0001264485,0.0004435786,0.0007204658,0.0007575647,0.0008756057],"category_scores_gemma":[0.0007317746,0.0002835093,0.0003201197,0.0001910052,0.0006679046,0.0009408497,0.0002444954,0.001076558,0.0003102817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824399,"about_ca_system_score_gemma":0.0002455431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001833648,"about_ca_topic_score_gemma":0.0002451602,"domain_scores_codex":[0.9995028,0.00008161243,0.00003415262,0.0001681248,0.0001698134,0.00004345951],"domain_scores_gemma":[0.9996493,0.0001622956,0.00006098018,0.00003773019,0.00004638809,0.00004335733],"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":[0.00004227121,0.00002747481,0.0001135163,0.00007908199,0.000004992166,0.00006449912,0.00003644548,0.0006221111,0.9899063,0.002049876,0.0000540257,0.006999468],"study_design_scores_gemma":[0.00001603027,0.0003185057,0.0006329055,0.00001075463,0.0000212894,0.0007688365,0.00002597341,0.01091024,0.9780451,0.003438866,0.005787211,0.00002426244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5595457,0.009981656,0.4221545,0.001780752,0.0003161766,0.0001033631,0.0001530402,0.0009304014,0.005034472],"genre_scores_gemma":[0.8142328,0.003514407,0.1774377,0.0009570414,0.0001544195,0.00007317991,0.0001248113,0.0001066261,0.003398956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008756057,"threshold_uncertainty_score":0.003177226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285391327941634,"score_gpt":0.3568020309722608,"score_spread":0.3239481176928444,"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."}}