{"id":"W2095455203","doi":"10.1016/j.str.2013.09.004","title":"Conformational Dynamics inside Amino-Terminal Disease Hotspot of Ryanodine Receptor","year":2013,"lang":"en","type":"article","venue":"Structure","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Ryanodine receptor; Terminal (telecommunication); Chemistry; Hotspot (geology); Amino terminal; Biophysics; Receptor; Biology; Biochemistry; Peptide sequence; Physics; Computer science; Gene; Telecommunications","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":[0.0001138175,0.0002017094,0.0001919561,0.00009566098,0.0003623627,0.0002123212,0.0003167602,0.0002771663,0.001850508],"category_scores_gemma":[0.0002313591,0.0001295142,0.0001880173,0.0001025978,0.0002832226,0.0004514504,0.0001608619,0.000551411,0.0003354416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152289,"about_ca_system_score_gemma":0.0001225982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006707691,"about_ca_topic_score_gemma":0.0007671561,"domain_scores_codex":[0.9999338,0.00001011988,0.00000428681,0.00001937438,0.00001275672,0.00001958958],"domain_scores_gemma":[0.9998971,0.00002625407,0.00002709729,0.000009785388,0.00001390024,0.00002584941],"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":[0.001413727,0.0001093509,0.004230324,0.0000920215,0.00005250813,0.001697935,0.0003055923,0.004048531,0.9793099,0.002420272,0.001246542,0.005073133],"study_design_scores_gemma":[0.0002277087,0.0008127906,0.0612273,0.00004731284,0.0001446781,0.004137189,0.0006337555,0.07134167,0.8504342,0.003100539,0.007752009,0.0001409149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976463,0.000225915,0.001186472,0.0001271041,0.00002484937,0.000003507758,0.00008921827,0.00002631877,0.0006703416],"genre_scores_gemma":[0.9986562,0.0001013204,0.0003153087,0.0000427851,0.000007880525,0.000004112278,0.0001674534,0.000008182081,0.0006968236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001850508,"threshold_uncertainty_score":0.006190598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004890812882194642,"score_gpt":0.21164715657035,"score_spread":0.2067563436881553,"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."}}