{"id":"W2945168557","doi":"10.1007/s00018-019-03147-9","title":"Targeting protein methylation: from chemical tools to precision medicines","year":2019,"lang":"en","type":"review","venue":"Cellular and Molecular Life Sciences","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Wellcome Trust","keywords":"Methyltransferase; Methylation; Effector; Chemical biology; Computational biology; Epigenetics; Biology; Bioinformatics; Chemistry; Cell biology; Biochemistry; 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":[0.0007785043,0.001265042,0.00158534,0.001810046,0.0002672172,0.001131013,0.001339695,0.001569867,0.002357778],"category_scores_gemma":[0.0006974991,0.0004074745,0.0004258408,0.001981914,0.00102941,0.001473814,0.001053038,0.002891845,0.002052109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052307,"about_ca_system_score_gemma":0.0007580156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008956348,"about_ca_topic_score_gemma":0.001910907,"domain_scores_codex":[0.9997961,0.0000324645,0.00001729674,0.00004520814,0.00007800673,0.00003089459],"domain_scores_gemma":[0.9997682,0.0001147374,0.00003232661,0.00001214123,0.00004007052,0.00003263637],"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":[0.0001166783,0.00008932995,0.0001034825,0.01101923,0.0000995291,0.0001975414,0.00004305714,0.0009131223,0.006437394,0.01434716,0.04680218,0.9198315],"study_design_scores_gemma":[0.00001973596,0.00006329436,0.000223374,0.0008092288,0.0000585587,0.0005167435,0.00001913564,0.0001677893,0.001277801,0.004203247,0.9926219,0.00001911365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008948438,0.9976301,0.000541141,0.0002964665,0.000299651,0.000003865591,0.00001977559,0.00001710651,0.001102323],"genre_scores_gemma":[0.001033135,0.9969415,0.0004661588,0.0003497093,0.0002762539,0.000008384211,0.00004111277,0.000003147646,0.0008804742],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002357778,"threshold_uncertainty_score":0.007887542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242080289470131,"score_gpt":0.3107032281028141,"score_spread":0.2782824252081129,"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."}}