{"id":"W4392131581","doi":"10.1038/s41598-024-55184-5","title":"Kinetic characterization of human mRNA guanine-N7 methyltransferase","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Ontario Institute for Cancer Research; University of Toronto","funders":"Mitacs; European Federation of Pharmaceutical Industries and Associations; University of Toronto; Ontario Genomics Institute; Merck KGaA; National Institutes of Health; Ontario Genomics; Genome Canada; McGill University; Genentech; Government of Ontario; National Institute of Allergy and Infectious Diseases; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Guanine; Methyltransferase; Messenger RNA; Computational biology; Chemistry; Biology; Gene; Biochemistry; 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":[0.0003996519,0.0003404886,0.0003466797,0.000295745,0.0001070022,0.0002057563,0.0002153784,0.0003257565,0.0007365724],"category_scores_gemma":[0.000617489,0.0001126877,0.0002252834,0.0003643875,0.00009351991,0.0001435974,0.0001186441,0.0003403275,0.000597644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042314,"about_ca_system_score_gemma":0.0002980781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771377,"about_ca_topic_score_gemma":0.002217286,"domain_scores_codex":[0.999764,0.00005070095,0.00002271456,0.00004273953,0.00009097069,0.00002880754],"domain_scores_gemma":[0.9997919,0.00005629903,0.00002778318,0.00002272035,0.00007963376,0.00002165652],"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":[0.00006096117,0.00003666749,0.0006756574,0.0000573549,0.00001047642,0.0000225322,0.00001696313,0.0003927372,0.9939779,0.00008010436,0.0000551844,0.004613574],"study_design_scores_gemma":[0.000004300873,0.0002161553,0.002472293,0.000003213344,0.00001072651,0.00009263464,0.000007920375,0.001654729,0.9931521,0.000027653,0.002351745,0.00000649382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308953,0.009322598,0.04935278,0.0002233148,0.0000570004,0.0002798635,0.003616855,0.0003940228,0.005858297],"genre_scores_gemma":[0.9540362,0.003924738,0.02784093,0.00008703629,0.00002241703,0.0001146308,0.00765915,0.00009400838,0.00622075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001771377,"threshold_uncertainty_score":0.003522158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361138272203753,"score_gpt":0.2890146658732923,"score_spread":0.2754032831512548,"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."}}