{"id":"W2490041812","doi":"10.3389/fchem.2016.00033","title":"Fluorescence-Based Strategies to Investigate the Structure and Dynamics of Aptamer-Ligand Complexes","year":2016,"lang":"en","type":"review","venue":"Frontiers in Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Engineering and Physical Sciences Research Council; University of St Andrews; Scottish Universities Physics Alliance","keywords":"Aptamer; Förster resonance energy transfer; Oligonucleotide; Nucleic acid; Fluorescence; Nucleic acid structure; Biophysics; Chemistry; Ligand (biochemistry); Fluorescence microscope; DNA; RNA; Computational biology; Nanotechnology; Combinatorial chemistry; Biochemistry; Biology; Materials science; Gene; Molecular biology; Physics","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":[0.0001437153,0.0003731733,0.0008046051,0.00005918721,0.0000498193,0.00003267118,0.0003961595,0.0004386003,0.000001115],"category_scores_gemma":[0.00008780616,0.000226284,0.0001778596,0.00019826,0.000549719,0.000003221055,0.0001381176,0.0002186624,1.28473e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005017397,"about_ca_system_score_gemma":0.0002390756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006556501,"about_ca_topic_score_gemma":0.00001552858,"domain_scores_codex":[0.998654,0.00006656247,0.0004146895,0.0004914945,0.000135207,0.0002380394],"domain_scores_gemma":[0.9990031,0.0000252059,0.0002848802,0.0005479838,0.00005964912,0.00007918003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004889119,0.00003334085,0.0002375207,0.007272271,0.000317353,0.000007317158,0.00001956175,0.000006579731,0.1162805,0.00002227182,0.004321453,0.871433],"study_design_scores_gemma":[0.0003059577,0.00008372166,0.000009734656,0.008091485,0.0003733557,0.00002834055,0.0001937537,0.00008091758,0.4889881,0.001002067,0.4998975,0.0009451509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00282195,0.9928494,0.002988718,0.0001220766,0.0000961722,0.0003623876,0.0006298664,0.00002158665,0.0001078093],"genre_scores_gemma":[0.01054073,0.9746921,0.01390451,0.00004799398,0.0001315475,0.00001345154,0.0004749278,0.00004221778,0.0001525404],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8704878,"threshold_uncertainty_score":0.9227592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115578773380127,"score_gpt":0.2787982491721276,"score_spread":0.2676424614383263,"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."}}