{"id":"W3027306138","doi":"10.3791/61053","title":"A Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS) Platform for Investigating Peptide Biosynthetic Enzymes","year":2020,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Hydrogen–deuterium exchange; Chemistry; Peptide; Enzyme; Deuterium; Mass spectrometry; Allosteric regulation; Protein dynamics; Protein structure; Substrate (aquarium); Biophysics; Biochemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002384473,0.0003065655,0.0005659322,0.000178931,0.0001503603,0.00009664517,0.0005281292,0.0001500639,0.003242884],"category_scores_gemma":[0.0001814338,0.0002835606,0.0003777202,0.0003632938,0.00006889077,0.0002334545,0.0001027224,0.0002973631,0.00001315582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844026,"about_ca_system_score_gemma":0.00007211985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007397131,"about_ca_topic_score_gemma":2.068423e-7,"domain_scores_codex":[0.997888,0.00002011685,0.0008780196,0.0003104871,0.0004747357,0.0004286499],"domain_scores_gemma":[0.9982411,0.0001066787,0.0008494288,0.0002657767,0.0001255391,0.0004114562],"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":[0.000106644,0.0001484515,0.0001886802,0.0001713256,0.0001542974,0.00001130902,0.0006735532,0.000001374301,0.9937153,0.001679838,0.002870299,0.0002788646],"study_design_scores_gemma":[0.001454358,0.0003166479,0.000008331256,0.0001217608,0.00006467848,0.00005071115,0.0005253357,0.0005888336,0.9699638,0.001919998,0.02470034,0.0002852115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545883,0.003203305,0.02323123,0.002177819,0.000161818,0.0005963576,0.0001208387,0.0003213535,0.01559899],"genre_scores_gemma":[0.9098,0.0001695255,0.08816622,0.0005944101,0.0008243041,0.00009938598,0.00001927485,0.00008304838,0.0002438545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06493499,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513772577566769,"score_gpt":0.3810476063420575,"score_spread":0.3296703485853806,"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."}}