{"id":"W4221102080","doi":"10.1021/jacs.2c00670","title":"PhOxi-Seq: Single-Nucleotide Resolution Sequencing of <i>N</i> <sup>2</sup> -Methylation at Guanosine in RNA by Photoredox Catalysis","year":2022,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; York University","keywords":"Chemistry; RNA; Methylation; Guanosine; RNA methylation; Transfer RNA; Nucleotide; Deep sequencing; DNA methylation; Computational biology; DNA; Biochemistry; Gene; Genome; Biology; Methyltransferase; Gene expression","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":[0.0002642001,0.0004091275,0.0002612531,0.000159777,0.0003063704,0.0003419808,0.000402272,0.0005496172,0.001912352],"category_scores_gemma":[0.000354617,0.0002546908,0.0002142648,0.0001662165,0.0003385128,0.0002814882,0.0003861521,0.0009298836,0.0009188504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693782,"about_ca_system_score_gemma":0.000294564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006237603,"about_ca_topic_score_gemma":0.002553593,"domain_scores_codex":[0.9997815,0.00002376266,0.000007835883,0.0001081753,0.00005781028,0.00002085527],"domain_scores_gemma":[0.9998329,0.00004053841,0.00003521387,0.00003393921,0.00003266041,0.00002479021],"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":[0.00004818054,0.000007055671,0.000227715,0.00003510521,0.000006784253,0.00003254762,0.00003230234,0.000147553,0.9954046,0.0001996712,0.0002775869,0.003580906],"study_design_scores_gemma":[0.000005041732,0.00004895382,0.001182919,0.000003409547,0.00000520298,0.00008420608,0.00002042159,0.001971282,0.9924109,0.000180404,0.004078073,0.000009096261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7873549,0.001948728,0.1840732,0.0005133483,0.000249348,0.0002478081,0.007121262,0.005113311,0.013378],"genre_scores_gemma":[0.7947257,0.001540264,0.1794741,0.0008552925,0.00005564945,0.0003333663,0.00834256,0.001092103,0.01358104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001912352,"threshold_uncertainty_score":0.006397486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018503277998653,"score_gpt":0.2324356212612149,"score_spread":0.2222505884812284,"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."}}