{"id":"W1988805210","doi":"10.1038/nrm1960","title":"Reading protein modifications with interaction domains","year":2006,"lang":"en","type":"review","venue":"Nature Reviews Molecular Cell Biology","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":666,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Posttranslational modification; Proteome; Computational biology; Protein–protein interaction; Reading (process); Cell biology; Computer science; Biology; Chemistry; Bioinformatics; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004683392,0.0008063841,0.001603632,0.0002027098,0.000127123,0.00004374601,0.0005928305,0.002105053,0.0000259259],"category_scores_gemma":[0.0001122588,0.0005732894,0.0007733078,0.0003858023,0.0001267356,0.000004977631,0.0001577629,0.001357052,0.0001326617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007885701,"about_ca_system_score_gemma":0.0002558503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008801355,"about_ca_topic_score_gemma":0.000007730365,"domain_scores_codex":[0.9963844,0.0009613103,0.0008422371,0.001168708,0.0001276974,0.0005156275],"domain_scores_gemma":[0.9976504,0.00002610575,0.0009102055,0.001171222,0.000114075,0.0001280338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002554294,0.0001479488,0.000001286751,0.01072292,0.0001987631,0.00002958764,0.00000550691,0.000002303469,0.06014893,0.001555992,0.002151033,0.9250102],"study_design_scores_gemma":[0.0001848819,0.0002677742,6.812487e-8,0.003007951,0.0003952756,0.00007425428,0.000001780239,8.991875e-7,0.01041923,0.00003682988,0.9849629,0.0006481636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002988729,0.9738802,0.002295049,0.00002026169,0.0001726133,0.003281608,0.0001022339,0.00003630529,0.02018181],"genre_scores_gemma":[0.0002012121,0.9882472,0.003809103,0.0001590801,0.0004075021,0.001402109,0.004472259,0.0001271395,0.001174416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9828119,"threshold_uncertainty_score":0.9996719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166225441878624,"score_gpt":0.3182832856933068,"score_spread":0.2966210312745206,"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."}}