{"id":"W2004545834","doi":"10.1021/pr2008994","title":"Unbiased Functional Proteomics Strategy for Protein Kinase Inhibitor Validation and Identification of<i>bona fide</i>Protein Kinase Substrates: Application to Identification of EEF1D as a Substrate for CK2","year":2011,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Protein Kinase Regulation and GTPase Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Schulich School of Medicine and Dentistry; Canadian Cancer Society Research Institute","keywords":"Phosphoproteomics; Phosphorylation; Proteomics; Kinase; Protein phosphorylation; Biology; Protein kinase A; Phosphatase; Biochemistry; Casein kinase 2; Cell biology; Protein phosphatase 1; Cyclin-dependent kinase 2; Computational biology","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":[],"consensus_categories":[],"category_scores_codex":[0.004618826,0.0002070719,0.0003166856,0.0004733496,0.0001844065,0.0000755063,0.0002768394,0.0002443429,0.00001151565],"category_scores_gemma":[0.001085097,0.0002038558,0.00017928,0.0004507478,0.0001832787,0.00007299236,0.00005476063,0.0002090788,0.000002914203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085586,"about_ca_system_score_gemma":0.0005785099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003649293,"about_ca_topic_score_gemma":0.00001029298,"domain_scores_codex":[0.9968956,0.0002539478,0.00142899,0.0004474792,0.0006428263,0.0003311339],"domain_scores_gemma":[0.9947248,0.00004444085,0.001236511,0.0003838135,0.0034129,0.0001975131],"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":[0.002845041,0.0002948629,0.0001058748,0.0006396017,0.00006222201,9.469321e-7,0.0001135745,0.0002892358,0.9919366,0.001657812,0.0000433631,0.002010903],"study_design_scores_gemma":[0.001510434,0.00178086,0.001630976,0.0001846147,0.00003268362,0.00001158657,0.0002290711,0.000648785,0.986282,0.007374463,0.000128329,0.0001862091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8300337,0.0002188194,0.1631702,0.000158256,0.00003786217,0.006271996,0.00009045788,0.000006048359,0.00001263225],"genre_scores_gemma":[0.9876258,0.00001801742,0.009717494,0.000006595135,0.0002487783,0.001993312,0.0001562354,0.00003951745,0.0001942338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1575921,"threshold_uncertainty_score":0.8313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07364811349540455,"score_gpt":0.3410887052568632,"score_spread":0.2674405917614587,"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."}}