{"id":"W2992595646","doi":"10.3390/molecules24244492","title":"Methyltransferase Inhibitors: Competing with, or Exploiting the Bound Cofactor","year":2019,"lang":"en","type":"review","venue":"Molecules","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Structural Genomics Consortium; Princess Margaret Cancer Centre; University of Toronto","funders":"Novartis Pharma; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Ontario Genomics; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Druggability; Cofactor; Methyltransferase; Binding site; Chemical biology; Enzyme; Chemistry; Transferase; Biochemistry; Active site; Drug discovery; Plasma protein binding; Stereochemistry; Biology; DNA; Methylation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003567555,0.0009425729,0.001202762,0.001601045,0.0002217417,0.0008900727,0.0008857534,0.001071,0.002766948],"category_scores_gemma":[0.0004600036,0.0003126987,0.0004581421,0.001293596,0.0004230461,0.001137547,0.0005294643,0.001993833,0.002251401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006174966,"about_ca_system_score_gemma":0.000467139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006606051,"about_ca_topic_score_gemma":0.001401676,"domain_scores_codex":[0.9998536,0.00002388533,0.00001571448,0.00002961797,0.0000570873,0.0000199841],"domain_scores_gemma":[0.9998677,0.00006421477,0.00002219893,0.000005198096,0.00002579944,0.00001501482],"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":[0.0001128653,0.000095877,0.0001379711,0.01181181,0.00009674737,0.0002647405,0.00005673421,0.000574148,0.004589347,0.007918295,0.03605582,0.9382857],"study_design_scores_gemma":[0.00002288639,0.0000847706,0.00027046,0.001033871,0.00005597024,0.0008753047,0.00001950105,0.00009564505,0.001060942,0.00134791,0.9951206,0.0000121767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002840265,0.9971058,0.000222439,0.0002633558,0.0002145382,0.000007901558,0.00003445984,0.00001669216,0.001850916],"genre_scores_gemma":[0.001445704,0.9964712,0.0002536875,0.0002978177,0.0001199739,0.00001462089,0.00005612889,0.000003137331,0.001337712],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002766948,"threshold_uncertainty_score":0.009256303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04211356981813649,"score_gpt":0.3092820686842081,"score_spread":0.2671684988660716,"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."}}