{"id":"W3210495393","doi":"10.1093/nar/gkab963","title":"An integrative NMR-SAXS approach for structural determination of large RNAs defines the substrate-free state of a <i>trans</i> -cleaving <i>Neurospora</i> Varkud Satellite ribozyme","year":2021,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of General Medical Sciences; Canada Foundation for Innovation; National Science Foundation; National Institutes of Health; Canadian Institutes of Health Research; Universidad de Medellín; Fonds de recherche du Québec – Nature et technologies; Université de Montréal","keywords":"Ribozyme; Small-angle X-ray scattering; Biology; Hairpin ribozyme; RNA; Crystallography; Nucleic acid structure; Computational biology; Biochemistry; Scattering; Physics; Chemistry; 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":[0.0002187199,0.0004403504,0.0003450686,0.000200255,0.0002528912,0.0003397652,0.0003138905,0.0002819048,0.0006358912],"category_scores_gemma":[0.0002399571,0.0002574477,0.000263501,0.0001930441,0.0003051534,0.0002476675,0.0003043477,0.0008770921,0.0002578874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544575,"about_ca_system_score_gemma":0.0002990561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006243861,"about_ca_topic_score_gemma":0.001528526,"domain_scores_codex":[0.9999042,0.00001329912,0.0000065077,0.00003197077,0.00003129486,0.00001266046],"domain_scores_gemma":[0.9998885,0.00003086658,0.0000220242,0.00002325643,0.0000175735,0.00001773709],"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":[0.00002570128,0.00001495835,0.0002690879,0.00001539176,0.000005459665,0.00002664725,0.00003212244,0.001083976,0.9958716,0.0004364339,0.00004414081,0.002174517],"study_design_scores_gemma":[0.000007111352,0.00007625661,0.001923322,0.00000285831,0.00001122249,0.00008724207,0.00003874864,0.03529949,0.9610139,0.0001902484,0.001337606,0.00001196452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.863085,0.0002936007,0.1332394,0.0001001626,0.00002079297,0.00005960112,0.0004954859,0.0006070572,0.002098957],"genre_scores_gemma":[0.8323765,0.0004990947,0.16421,0.00006632802,0.00001087855,0.0001037911,0.001277152,0.0001550048,0.001301287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006358912,"threshold_uncertainty_score":0.002571762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270673516706447,"score_gpt":0.3187071479619195,"score_spread":0.2916397962912747,"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."}}