{"id":"W2082767262","doi":"10.1007/s10858-011-9520-6","title":"Quantifying millisecond time-scale exchange in proteins by CPMG relaxation dispersion NMR spectroscopy of side-chain carbonyl groups","year":2011,"lang":"en","type":"article","venue":"Journal of Biomolecular NMR","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Millisecond; Side chain; Relaxation (psychology); Chemical physics; Folding (DSP implementation); Excited state; Dispersion (optics); Protein folding; Nuclear magnetic resonance spectroscopy; Crystallography; Stereochemistry; Atomic physics; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006690386,0.0002976078,0.0002190004,0.0002582304,0.0003634367,0.0003904192,0.0003855086,0.0006192676,0.0007717359],"category_scores_gemma":[0.001220149,0.0002119056,0.0001131683,0.0002577271,0.0006124224,0.0008877926,0.0003203191,0.001513808,0.0001699132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583065,"about_ca_system_score_gemma":0.0003243239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009991109,"about_ca_topic_score_gemma":0.002067368,"domain_scores_codex":[0.9998838,0.00001967273,0.000004986228,0.00003284392,0.0000370676,0.00002157608],"domain_scores_gemma":[0.9995029,0.0002015872,0.00008240296,0.00006468468,0.00006254693,0.00008584264],"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":[0.0001355689,0.00003901728,0.0004364836,0.00003062469,0.000007142989,0.00002870683,0.00005925823,0.0003982797,0.9950688,0.0004889597,0.00006507647,0.003242078],"study_design_scores_gemma":[0.00003200095,0.0001870206,0.005603031,0.00001021044,0.00001474188,0.0001124959,0.00004815989,0.014345,0.9783694,0.0005122745,0.0007494205,0.00001638831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799061,0.0005901448,0.01835409,0.0001660243,0.00003702832,0.00002014463,0.00008547103,0.0001006015,0.0007404065],"genre_scores_gemma":[0.9844825,0.0006002472,0.01344063,0.00009675431,0.00003157199,0.00004704828,0.0001732039,0.00004417345,0.001083892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009991109,"threshold_uncertainty_score":0.004230499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009697578654442072,"score_gpt":0.2333521791098896,"score_spread":0.2236546004554475,"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."}}