{"id":"W4322102509","doi":"10.1101/2023.02.25.530040","title":"Control of human pancreatic beta cell kinome by GLP-1R biased agonism","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Medical Research Council; Diabetes UK; UK Research and Innovation; European Foundation for the Study of Diabetes; Eli Lilly and Company","keywords":"Kinome; Agonist; Kinase; Beta adrenergic receptor kinase; KEGG; Signal transduction; Tyrosine kinase; Exenatide; Biology; Receptor tyrosine kinase; Receptor; Cell biology; Pharmacology; Chemistry; G protein-coupled receptor; Endocrinology; Biochemistry; Gene; Gene expression","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":[0.0001290771,0.0002000241,0.0002700857,0.0001386006,0.00008390295,0.000358399,0.00007746022,0.0001481417,0.002388884],"category_scores_gemma":[0.0001545459,0.00008112902,0.0002371405,0.0001280886,0.00009825444,0.0001917761,0.0002203873,0.0003476546,0.0004609356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128,"about_ca_system_score_gemma":0.00009643362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529288,"about_ca_topic_score_gemma":0.0001871453,"domain_scores_codex":[0.9998668,0.00001887434,0.0000102247,0.00004040975,0.00003201647,0.00003159661],"domain_scores_gemma":[0.9999452,0.00001189606,0.00001764882,0.000007483355,0.0000082537,0.000009605053],"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":[0.0005488159,0.00001658644,0.0008904128,0.00007028288,0.000009940399,0.00004312752,0.00001259048,0.00009778315,0.9958092,0.00001412407,0.00003876448,0.002448426],"study_design_scores_gemma":[0.00003778982,0.001135554,0.06884631,0.0000192167,0.00005357209,0.0006377473,0.0001657467,0.001480173,0.9247527,0.00009553874,0.002756501,0.00001915387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949861,0.001840548,0.00149374,0.00005731952,0.00001721336,0.00001994123,0.0008289351,0.00002944616,0.0007268682],"genre_scores_gemma":[0.9948201,0.00135479,0.001502377,0.00008172792,0.00001023189,0.00005782216,0.001109311,0.00001331307,0.001050515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002388884,"threshold_uncertainty_score":0.007991672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065732107051049,"score_gpt":0.233923370749153,"score_spread":0.2132660496786425,"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."}}