{"id":"W4231042054","doi":"10.1038/s41589-019-0267-9","title":"Structure and functional reselection of the Mango-III fluorogenic RNA aptamer","year":2019,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":150,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Argonne National Laboratory; Office of Research Infrastructure Programs, National Institutes of Health; Lawrence Berkeley National Laboratory; National Center for Research Resources; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Office of Science; National Institutes of Health; National Heart, Lung, and Blood Institute; U.S. Department of Energy","keywords":"Aptamer; RNA; Chemistry; Fluorescence; Pseudoknot; Crystallography; Mutant; Biophysics; Pyrimidine; Stereochemistry; Biochemistry; Biology; Molecular biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000562386,0.0001132026,0.0001426237,0.00002505198,0.00003071138,0.000003292827,0.0001059537,0.0006598494,0.000008956758],"category_scores_gemma":[0.00006437473,0.00007017385,0.00009355332,0.0001239031,0.0001761903,0.000002244075,0.0001161058,0.0003132801,4.90652e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001010471,"about_ca_system_score_gemma":0.00002013412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003781895,"about_ca_topic_score_gemma":0.000003664105,"domain_scores_codex":[0.9993276,0.00003561244,0.0001313576,0.0003028145,0.00006701835,0.0001355824],"domain_scores_gemma":[0.9995348,0.00001442026,0.00008554974,0.0002478091,0.00009068194,0.00002673382],"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":[0.00008797093,0.000009864511,0.002538013,0.000005865548,0.0000466115,5.70964e-8,0.00000168345,2.943046e-7,0.9949564,0.0002666944,0.0006242802,0.001462266],"study_design_scores_gemma":[0.0002063976,0.00006399475,0.001247957,0.000005173624,0.00001971824,0.000020938,0.000004956003,0.000008882157,0.9894965,0.0006136652,0.008222599,0.00008920841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984298,0.0007989652,0.00005219057,0.00026091,0.0001326309,0.00009650344,0.00002163178,0.00001236906,0.0001950185],"genre_scores_gemma":[0.998364,0.00006614348,0.0005721592,0.0004870561,0.0001622699,0.000001638488,0.0001185181,0.000007833828,0.0002203966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007598318,"threshold_uncertainty_score":0.5089363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003295170716089781,"score_gpt":0.238446587837957,"score_spread":0.2351514171218672,"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."}}