{"id":"W4382934453","doi":"10.1101/2023.07.03.547533","title":"The substrate quality of CK2 target sites has a determinant role on their function and evolution","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein Kinase Regulation and GTPase Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval; PROTEO","funders":"Medical Research Council; Canadian Institutes of Health Research; Cancer Research UK; Wellcome Trust; Francis Crick Institute; European Molecular Biology Organization","keywords":"Kinase; Substrate (aquarium); Biology; Function (biology); Phosphorylation; Substrate specificity; Cell biology; Protein kinase domain; Selection (genetic algorithm); Biophysics; Computational biology; Enzyme; Biochemistry; Chemistry; Computer science; Gene; Artificial intelligence; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009503763,0.0003037654,0.0002739053,0.00008071874,0.0002679183,0.0001067781,0.0002048631,0.0003792765,0.000002791412],"category_scores_gemma":[0.0002281878,0.0002454989,0.0001329541,0.0001422387,0.0001914008,0.000006271075,0.0002440554,0.0002429257,0.000005975005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004495633,"about_ca_system_score_gemma":0.0002486579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000369509,"about_ca_topic_score_gemma":0.00001678829,"domain_scores_codex":[0.9982768,0.0002156985,0.0004335498,0.0005936889,0.0002040172,0.0002762924],"domain_scores_gemma":[0.9984129,0.00004725141,0.0004306594,0.0007468121,0.0002658909,0.0000964708],"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":[0.0001602894,0.00003820919,0.008878395,0.000123106,0.00008162934,0.000001237913,0.000003285277,0.0001622657,0.9899296,0.0005684421,0.00004841061,0.000005150857],"study_design_scores_gemma":[0.0002587489,0.0001054897,0.2869615,0.0001063241,0.0000252159,8.240529e-9,0.000006792949,0.0004896678,0.7107703,0.00008055459,0.0009347087,0.0002606889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929227,0.003338949,0.002683273,0.0001224907,0.0002731838,0.0004333924,0.0001594749,0.00006385377,0.000002684045],"genre_scores_gemma":[0.9990055,0.0002442077,0.0003080298,0.0000328412,0.0002445935,0.0001012152,0.000003287469,0.00005202502,0.000008277864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2791593,"threshold_uncertainty_score":0.9999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587725856157467,"score_gpt":0.2371554626755459,"score_spread":0.2112782041139712,"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."}}