{"id":"W4307611168","doi":"10.1101/2022.10.28.514170","title":"Network models of protein phosphorylation, acetylation, and ubiquitination connect metabolic and cell signaling pathways in lung cancer","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Crosstalk; Biology; Signal transduction; Phosphoproteomics; Stable isotope labeling by amino acids in cell culture; Cell biology; Proteomics; Phosphorylation; Computational biology; Cancer research; Protein phosphorylation; Biochemistry; Protein kinase A; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005362207,0.0003975721,0.0003086928,0.001382739,0.0002860771,0.0005957414,0.0004358308,0.0003346003,0.001116781],"category_scores_gemma":[0.001341389,0.0002195762,0.0006537919,0.001201199,0.0003962398,0.000718574,0.000410999,0.0002779045,0.0001138658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210747,"about_ca_system_score_gemma":0.000444727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007595658,"about_ca_topic_score_gemma":0.006798907,"domain_scores_codex":[0.999774,0.00008356299,0.000009384606,0.00007241022,0.00003532124,0.00002528572],"domain_scores_gemma":[0.999437,0.0003127916,0.000123091,0.00003793695,0.00005306101,0.00003616922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001322671,0.0000464516,0.0166849,0.00009543302,0.0001931123,0.0001805684,0.00009701716,0.9519316,0.008122207,0.01255152,0.0005356348,0.009429367],"study_design_scores_gemma":[0.000004925535,0.0000181907,0.006596393,0.000004327904,0.00002411771,0.00004000094,0.00002398266,0.981555,0.0004657701,0.0108866,0.0003752647,0.000005429588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8010221,0.000925163,0.1919405,0.0005262604,0.00001365875,0.00007783817,0.002121184,0.0003718979,0.003001281],"genre_scores_gemma":[0.980818,0.0003441105,0.01689358,0.00002881425,0.000007712191,0.00007186102,0.001004714,0.00001748985,0.000813616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007595658,"threshold_uncertainty_score":0.01510292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009635163754169696,"score_gpt":0.205088453113806,"score_spread":0.1954532893596363,"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."}}