{"id":"W2794873645","doi":"10.1016/j.celrep.2018.02.104","title":"A Screen for Candidate Targets of Lysine Polyphosphorylation Uncovers a Conserved Network Implicated in Ribosome Biogenesis","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Lysine; Ribosome biogenesis; Biogenesis; Translation (biology); Biology; Ribosome; Computational biology; Conserved sequence; Cell biology; Genetics; Gene; Amino acid; RNA; Peptide sequence; Messenger RNA","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":[0.0001288308,0.0004533519,0.0003996636,0.0005296647,0.0002047496,0.0002552458,0.0002336397,0.0003424239,0.0009108467],"category_scores_gemma":[0.0001723714,0.0001675222,0.0002663943,0.0004917366,0.0001655077,0.0001416648,0.0002513085,0.0002645103,0.0003753298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944494,"about_ca_system_score_gemma":0.0001919176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003811527,"about_ca_topic_score_gemma":0.0008717144,"domain_scores_codex":[0.9998591,0.00001077441,0.00000946433,0.0000435546,0.00005521788,0.00002195398],"domain_scores_gemma":[0.9998221,0.00004251484,0.00005505782,0.00001531074,0.00001604269,0.00004900041],"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":[0.0001112379,0.00002105676,0.001294539,0.00003791329,0.00001165559,0.0001532824,0.000007729309,0.00007349747,0.9954646,0.00003435676,0.00004452604,0.00274571],"study_design_scores_gemma":[0.0000174564,0.0006393682,0.04025846,0.000007047616,0.0001083361,0.001509164,0.0000457555,0.001240482,0.9532939,0.0001021321,0.002768732,0.000009088921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907479,0.00182148,0.004211264,0.00007984634,0.00001265304,0.00005581221,0.001898787,0.000175043,0.0009972664],"genre_scores_gemma":[0.9824523,0.001614721,0.01010722,0.00007563978,0.000007968193,0.00005158347,0.003790162,0.00004058513,0.001859773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009108467,"threshold_uncertainty_score":0.003047109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951375637358405,"score_gpt":0.2340401729980197,"score_spread":0.2245264166244357,"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."}}