{"id":"W2087570918","doi":"10.1042/bj20061216","title":"<i>In vitro</i> selection and characterization of RNA aptamers binding thyroxine hormone","year":2007,"lang":"en","type":"article","venue":"Biochemical Journal","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Génome Québec; Université de Sherbrooke","keywords":"Systematic evolution of ligands by exponential enrichment; Aptamer; RNA; Riboswitch; Ribozyme; G-quadruplex; Biology; Biochemistry; Binding selectivity; Binding site; Chemistry; Non-coding RNA; Computational biology; DNA; Genetics; Gene","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":[0.0003245339,0.0003605633,0.0003887292,0.000185517,0.0001580539,0.0004278308,0.00029411,0.0002749911,0.0009661019],"category_scores_gemma":[0.0004865472,0.0001519419,0.0003175851,0.000227935,0.0001686658,0.0001147078,0.0002354034,0.0004069541,0.0009866129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787111,"about_ca_system_score_gemma":0.0001130419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003506284,"about_ca_topic_score_gemma":0.0004959849,"domain_scores_codex":[0.9996263,0.000117714,0.00003866971,0.00007012967,0.0000868805,0.0000602921],"domain_scores_gemma":[0.9997248,0.0000977923,0.00005232713,0.00004051552,0.00005452759,0.00003001597],"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":[0.00001381856,0.00001445718,0.00005921024,0.00001365415,0.000002033407,0.00001525915,0.00001259519,0.0001112514,0.9990972,0.00003105039,0.00001628199,0.0006131814],"study_design_scores_gemma":[0.000002153427,0.00009221051,0.0003644135,0.000001624798,0.000005371904,0.00004764459,0.00001034883,0.0006941293,0.9976498,0.00001678393,0.001112618,0.000002997435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554201,0.001025125,0.03768143,0.0001414143,0.00004856742,0.000266813,0.001077994,0.0002848931,0.004053669],"genre_scores_gemma":[0.9462869,0.001080322,0.04007293,0.0002122406,0.00002676976,0.0002826136,0.003548447,0.0002237726,0.008266074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009661019,"threshold_uncertainty_score":0.003231943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006088570550613139,"score_gpt":0.2238721681431266,"score_spread":0.2177835975925135,"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."}}