{"id":"W3184523677","doi":"10.1016/j.mcpro.2021.100125","title":"Affinity Proteomics and Deglycoproteomics Uncover Novel EDEM2 Endogenous Substrates and an Integrative ERAD Network","year":2021,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Academia Româna; Ontario Ministry of Research, Innovation and Science","keywords":"Endoplasmic-reticulum-associated protein degradation; Proteome; Proteomics; Endoplasmic reticulum; Biology; Shotgun proteomics; Glycobiology; Stable isotope labeling by amino acids in cell culture; Quantitative proteomics; Glycoprotein; Cell biology; Protein degradation; Computational biology; Unfolded protein response; Biochemistry; Glycan","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002790393,0.0006009272,0.0004088053,0.0007108942,0.0002894063,0.0006447887,0.0002013439,0.000404219,0.0009543753],"category_scores_gemma":[0.0002554247,0.0001761843,0.0005892352,0.0007741554,0.0001767008,0.000481322,0.0004660306,0.0005917831,0.0004851678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332842,"about_ca_system_score_gemma":0.0002414452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008952974,"about_ca_topic_score_gemma":0.00155622,"domain_scores_codex":[0.9998088,0.00001478427,0.00001119471,0.0000811679,0.00004975497,0.0000342669],"domain_scores_gemma":[0.9998868,0.00001489161,0.00003165852,0.00001932044,0.0000230422,0.00002432061],"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":[0.0004553243,0.00006777849,0.01323207,0.000225849,0.00007523746,0.0003521717,0.00006979702,0.0009761819,0.9738998,0.0003709629,0.0008301025,0.009444716],"study_design_scores_gemma":[0.00005341496,0.0002711264,0.202872,0.00005853866,0.0002273547,0.002053351,0.0002337627,0.03240631,0.7349331,0.001358391,0.02548214,0.00005043529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763558,0.001685397,0.01263816,0.0001449564,0.00002169287,0.00003598491,0.007426444,0.0003760392,0.001315619],"genre_scores_gemma":[0.9143667,0.001901683,0.04514546,0.0002674882,0.0000216463,0.00007130016,0.0346566,0.000174498,0.003394567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009543753,"threshold_uncertainty_score":0.003192723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246279789919791,"score_gpt":0.217459088042615,"score_spread":0.2049962901434171,"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."}}