{"id":"W2904307998","doi":"10.1074/jbc.ra118.007204","title":"Design and characterization of mutant and wildtype huntingtin proteins produced from a toolkit of scalable eukaryotic expression systems","year":2019,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Agricultural Sciences; Novartis Pharma; Ontario Genomics Institute; Wellcome Trust; National Cancer Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Huntington Society of Canada; National Institutes of Health; Ontario Ministry of Research, Innovation and Science; Ontario Genomics; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; CHDI Foundation; Government of Canada; Human Frontier Science Program; Pfizer; Huntington's Disease Society of America","keywords":"Huntingtin; Polyglutamine tract; Huntingtin Protein; Mutant; Biology; Population; Genetics; Computational biology; Cell biology; Molecular biology; Gene; Medicine","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":[0.0008160757,0.0004647999,0.0005078505,0.0003102068,0.0003613163,0.0006132533,0.0007430345,0.0004049875,0.000725372],"category_scores_gemma":[0.0006471602,0.0003169315,0.0003882924,0.0006095887,0.000334764,0.0003521996,0.0003729656,0.0009076643,0.0006805316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008666146,"about_ca_system_score_gemma":0.0003765898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009964776,"about_ca_topic_score_gemma":0.001831961,"domain_scores_codex":[0.999391,0.0000824302,0.000103563,0.0001008811,0.000266492,0.00005564166],"domain_scores_gemma":[0.9997179,0.00004995984,0.00006151973,0.00004386239,0.00005905804,0.00006769397],"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":[0.00005689481,0.00003943586,0.0001572583,0.00007471653,0.000009252037,0.00009925538,0.0000582387,0.0008733203,0.9964159,0.0004872216,0.0001524947,0.001576068],"study_design_scores_gemma":[0.00003168298,0.0003000198,0.001606246,0.00001508247,0.00001813443,0.0001837027,0.00005454073,0.005402224,0.9823,0.0001218569,0.009947261,0.00001915491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886627,0.001110542,0.1009554,0.0004594571,0.0001115229,0.001088474,0.00573757,0.0008250073,0.003085048],"genre_scores_gemma":[0.8179728,0.002347994,0.1506885,0.0001825825,0.00002880822,0.001349338,0.01929536,0.00051964,0.00761502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009964776,"threshold_uncertainty_score":0.006287813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135631647765828,"score_gpt":0.2306894818512211,"score_spread":0.1993331653735628,"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."}}