{"id":"W4302288080","doi":"10.1101/2022.10.03.510562","title":"Proteomics and phosphoproteomics profiling of the co-formulation of type I and II interferons, HeberFERON, in the glioblastoma-derived cell line U-87 MG","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Phosphoproteomics; Kinome; Kinase; Proteomics; Biology; PI3K/AKT/mTOR pathway; MAPK/ERK pathway; Phosphorylation; Cell biology; Signal transduction; Proteome; Cell cycle; Cell culture; Quantitative proteomics; Molecular biology; Cancer research; Protein kinase A; Cell; Protein phosphorylation; Biochemistry; Genetics; 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":[0.0001182787,0.000296292,0.0003579821,0.0002982373,0.0001970598,0.0002716714,0.0001048668,0.0002067491,0.0004784767],"category_scores_gemma":[0.00009545786,0.00010938,0.0002743435,0.0004003391,0.0001141263,0.000148256,0.0001588927,0.0002334417,0.0002435292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137683,"about_ca_system_score_gemma":0.0001691914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484406,"about_ca_topic_score_gemma":0.001863731,"domain_scores_codex":[0.9998829,0.00001359513,0.000007995191,0.00002473845,0.00004665504,0.00002416084],"domain_scores_gemma":[0.9999578,0.000005425118,0.00001119212,0.000004049299,0.00001275968,0.000008711265],"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":[0.0001426848,0.00001473007,0.0005473068,0.00002564852,0.000007817101,0.00003161288,0.00001387273,0.00002903209,0.9981882,0.000008922386,0.00004271936,0.000947385],"study_design_scores_gemma":[0.00001251505,0.0003964468,0.05977309,0.00001284789,0.00006754986,0.0003257531,0.0001156463,0.001354501,0.9351257,0.00002509187,0.002779235,0.00001161968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932107,0.002674213,0.001226099,0.0000759572,0.00002913855,0.00002569252,0.001895736,0.00004265627,0.0008197798],"genre_scores_gemma":[0.9854232,0.002486581,0.004042288,0.0001759501,0.0000153899,0.00008529654,0.003911323,0.00002621153,0.003833697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484406,"threshold_uncertainty_score":0.002951503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108105947670864,"score_gpt":0.222296211396087,"score_spread":0.2112151519193784,"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."}}